Python Developer Jobs in UAE

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>As a project intern, you will have the opportunity to engage in impactful short-term projects that provide you with a glimpse of professional real-world experience. You will gain practical skills through on-the-job learning in a fast-paced work environment and develop a deeper understanding of your career interests. Applications will be reviewed on a rolling basis - we encourage you to apply early. Successful candidates must be able to commit to at least 3 months long internship period. The Measurement Center of Excellence, or COE, is a regional team focused on advancing how TikTok demonstrates and improves advertising effectiveness. We work across branding and performance measurement to develop scalable insights, solutions, frameworks, and programs that help advertisers better understand and improve the business impact of their investments on TikTok. Our team sits at the intersection of Measurement, Sales, Product, Analytics, and Marketing. We partner with market and regional teams to analyze advertising outcomes, identify opportunities across clients and industries, validate new measurement approaches, and translate complex findings into clear and actionable recommendations. As a Measurement COE Intern, you will support regional projects spanning analytics, research, program development, and measurement innovation. You will have the opportunity to work with real-world advertising data, contribute to high-impact cross-market initiatives, and learn how measurement insights are used to influence advertising strategies, product development, and business decisions. Responsibilities - Support regional advertising measurement projects across branding and performance use cases, working closely with COE members and cross-functional partners - Analyze and synthesize data from multiple studies, markets, advertisers, or industries to identify trends, benchmarks, and actionable insights - Assist with the development of meta-analyses, custom research, product validation studies, and other strategic measurement initiatives - Maintain and improve project trackers, reporting dashboards, measurement repositories, and other tools used to monitor program progress and impact - Translate analytical findings into clear presentations, reports, case studies, and recommendations for technical and non-technical stakeholders - Conduct research on advertising effectiveness, measurement methodologies, industry trends, competitor practices, and emerging technologies - Support the development of scalable COE resources, including playbooks, best-practice frameworks, training materials, and go-to-market content - Explore opportunities to automate or streamline recurring analytical, reporting, and operational workflows using data tools or generative AI - Coordinate inputs and deliverables across regional and market stakeholders, ensuring project information is accurate, organized, and delivered on time - Take ownership of a defined internship project and present key findings and recommendations to the broader Measurement team Minimum Qualifications: - Currently pursuing a Bachelor's degree or above - Strong analytical and technical skills, including advanced Excel, working knowledge of Python or R, and good knowledge of SQL - Solid understanding of statistical concepts and data analysis methodologies, with a quantitative and problem-solving mindset - Strong PowerPoint and communication skills, with the ability to present data and insights clearly and professionally - Strong attention to detail, ownership and organisational skills, with the ability to manage multiple priorities and deliver high-quality work in a fast-paced environment Preferred Qualifications: - Previous internship, project or coursework experience in data analytics, business intelligence, consulting, or a technology-related environment - Familiarity with data visualisation tools, such as Tableau or Power BI - Understanding of digital marketing metrics, advertising measurement or social media analytics</p> </div>

<ul><li><p>Design, architect, and operate enterprise scale Red Hat OpenShift (v4.x) platforms across on prem, private cloud, and managed OpenShift services (ARO, ROSA) for regulated banking workloads.</p><ul><li><p>Define hybrid and multi cloud OpenShift architecture, integrating on prem OpenShift with cloud hosted clusters while maintaining security, compliance, and operational consistency.</p></li><li><p>Architect OpenShift solutions leveraging Azure Red Hat OpenShift (ARO) and Red Hat OpenShift Service on AWS (ROSA), including network connectivity, identity integration, and landing zone alignment.</p></li><li><p>Build, configure, and maintain OpenShift cluster infrastructure across bare metal, virtualized, and cloud environments, including networking, storage, ingress, and security integration.</p></li><li><p>Own the end to end lifecycle of OpenShift platforms: installation, upgrades, patching, capacity planning, scaling, and platform health management.</p></li><li><p>Act as a solution architect and technical advisor for container platforms, guiding application modernization and cloud native adoption strategies.</p></li><li><p>Design hybrid connectivity models between on prem and cloud OpenShift clusters using VPN, private connectivity (e.g., ExpressRoute / Direct Connect–aligned designs), and secure ingress/egress patterns.</p></li><li><p>Develop technical architectures, solution blueprints, and design documents for OpenShift based platforms and cloud integrated solutions.</p></li><li><p>Prepare and deliver technical proposals, architecture presentations, and platform roadmaps to architecture review boards, leadership, and key stakeholders.</p></li><li><p>Implement and manage OpenShift ecosystem components, including Operators, OperatorHub, OpenShift Pipelines (Tekton), GitOps (Argo CD), and Service Mesh (Istio).</p></li><li><p>Drive platform automation and standardization using Ansible, Terraform (where applicable), Bash, and Python across on prem and cloud OpenShift environments.</p></li><li><p>Enable and support CI/CD pipelines and GitOps workflows for cloud and hybrid OpenShift clusters, ensuring controlled and compliant deployments.</p></li><li><p>Integrate OpenShift with cloud native services and enterprise tooling, including identity providers, container registries, monitoring, logging, and certificate management.</p></li><li><p>Ensure security, risk, and compliance alignment across hybrid and cloud platforms, enforcing RBAC, network policies, cluster hardening, and banking regulatory standards.</p></li><li><p>Integrate and manage container and cloud security tooling, including image scanning, vulnerability management, and policy enforcement (e.g., ACS, Trivy).</p></li><li><p>Monitor and troubleshoot performance, availability, and reliability issues across on prem and cloud OpenShift clusters, providing root cause analysis and remediation.</p></li><li><p>Design and operate centralized observability solutions (Prometheus, Grafana, EFK/ELK) for hybrid OpenShift environments.</p></li><li><p>Plan and execute capacity and scaling strategies for OpenShift clusters across cloud and on prem platforms based on business demand and SLAs.</p></li><li><p>Provide technical leadership and mentorship to OpenShift and platform engineers, promoting cloud and hybrid platform best practices.</p></li><li><p>Lead or support small platform engineering teams, including task planning, technical reviews, and skill development.</p></li><li><p>Collaborate with cloud, infrastructure, security, networking, SRE, and application teams to deliver secure, stable, and compliant OpenShift platforms.</p></li><li><p>Provide 24/7 production support and incident leadership, ensuring fast recovery and minimal impact to critical banking services.</p></li><li><p>Contribute to platform governance, standards definition, and continuous improvement of enterprise container and hybrid cloud platforms.</p></li></ul></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>Required Skills * Red Hat Openshift Administration, Advanced Cluster Management, Openshift Virtualization with cloud migration & Integration, preferably within the banking sector, with broad exposure to enterprise technology platforms. Required Experience / Knowledge Areas * At least 10 years of IT experience & 5+ years of recent experience in Openshift / Red Hat Openshift Administration, Advanced Cluster Management, Openshift Virtualization with cloud migration & Integration, preferably within the banking sector, with broad exposure to enterprise technology platforms. Certifications Required Red Hat Certified Specialist in OpenShift Administration ITIL® Foundation – IT Service Management Skills OpenShift Administration Cloud Integration Hybrid Architecture</p></li></ul>

<p>We are looking for an experienced AI Engineer responsible for designing, developing, and deploying Generative AI and Agentic AI solutions that support enterprise-scale business use cases. This role includes building intelligent systems that integrate complex backend services and client-facing applications across web, mobile, and enterprise platforms. The primary responsibility will be to design and develop AI-powered applications, autonomous agents, and multi-agent workflows, while coordinating with cross-functional teams across architecture, engineering, product, and business functions. Thus, a commitment to collaborative problem solving, sophisticated design, and product quality is essential.</p><br><p><strong>KEY ACCOUNTABILITIES:</strong></p><ul><li><p>Designing and building Generative AI applications using Large Language Models (LLMs)</p></li><li><p>Developing Agentic AI solutions, including autonomous agents, multi-agent orchestration, and workflow-driven decision systems</p></li><li><p>Building solutions using frameworks such as LangChain, LangGraph or similar agent frameworks</p></li><li><p>Implementing RAG architecture with vector databases</p></li><li><p>Knowledge of embeddings, vector DBs, and model evaluation.</p></li><li><p>Implement various Context Engineering strategies to reduce Token Utilization & Latency.</p></li><li><p>Implement RAG Strategies to reduce retrieval latency and answer relevancy.</p></li><li><p>Prompt engineering, tool calling, memory management, and agent orchestration</p></li><li><p>Integrating AI services with enterprise APIs, middle ware, and backend systems</p></li><li><p>Evaluated & Improvise AI Agent Performance using several metrics</p></li><li><p>Deploying scalable AI solutions on Azure / AWS cloud platforms.</p></li><li><p><strong>Working with model evaluation, guardrails, observability, and AI governance</strong></p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>Bachelor's degree in Computer Science, Engineering, or a related field.</p></li><li><p>Senior professional with around 10 years of experience.</p></li><li><p>3+ years of relevant experience in AI Engineering</p></li><li><p>Working experience in an agile software development environment with a good understanding of the principles of agile architecture. Strong collaborative mindset for collective decentralized decision making.</p></li><li><p>Demonstrate strong technical skills with a deep understanding of modern architectural styles and practices such as Microservices, Containers, Cloud (AWS, Azure), APIs, Continuous Delivery, Event-driven architecture, Evolutionary architecture, etc., with a passion for hands on coding.</p></li><li><p>Strong foundation knowledge of software architecture concepts, patterns, principles, and quality attributes. Ability to consistently apply them in real-world scenarios with a pragmatic, system thinking, and problem-solving mindset by analyzing architecture trade-offs for delivering high-quality, sustainable solution architecture.</p></li><li><p>Proven leadership skills with a proactive, positive, and growth mindset. Ability to foster and motivate programmers for delivering with craftsmanship. Good personal skills to continuously engage and communicate with an egoless empathetic mindset.</p></li><li><p>Experience and expertise in delivering architecture for large software solutions meeting critical business purposes. Ability to proactively discover technical debts and continuous improvement opportunities of existing live systems. Work closely with the product owner and enterprise architects to influence and prioritize technical backlog items.</p></li><li><p>Strong proficiency in Python (NumPy, pandas, FastAPI, PyTorch/TensorFlow).</p></li><li><p>Experience with Agent framework LangChain, Lang Graph.</p></li><li><p>Architect end-to-end data indexing pipelines optimized for semantic search and RAG.</p></li><li><p>Design resilient data ingestion frameworks that ensure high availability and low latency for vectorized datasets.</p></li><li><p>Experience deploying and managing models via Amazon Bedrock, Azure OpenAI Service, and Google Vertex AI.</p></li><li><p>Integration of pre-built AI APIs for Speech-to-Text, Computer Vision, and Natural Language Processing (NLP).</p></li><li><p>Leveraging serverless architectures (e.g., AWS Lambda, Azure Functions) to trigger AI inference and data pre-processing.</p></li><li><p>Experience working with CI/CD tools like Jenkins/Gitlab in Cloud Native environments.</p></li><li><p>Experience in setting up pipeline for cloud based and on-prem based application with static code analysis, requirement tagging in Jira.</p></li><li><p>Experience working with one or more DevOps tools & config management tools.</p></li><li><p>Experience in managing and deploying AI workloads in Kubernetes.</p></li><li><p>Experience operating monitoring tools for traditional and cloud environments.</p></li><li><p><strong>Strong analytical mind for problem solving.</strong></p></li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Bayut &amp; dubizzle have the unique distinction of being iconic, homegrown brands with a strong presence across the seven emirates in the UAE.<br> Connecting millions of users across the country, we are committed to delivering the best online search experience.<br> As part of Dubizzle Group, we are alongside some of the strongest classified brands in the market.<br> With a collective strength of 5 brands, we have more than 123 million monthly users that trust in our dedication to providing them with the best platform for their needs.<br> As a Senior Data Analyst - Strategy, you will work closely with the Strategy team to improve processes, services, products, and software through analysis.<br> You will share a continuous focus on growth with the business leaders and will be co-responsible for building out the dubizzle/Bayut brand.<br> In this role, you will: Collaborate closely with the strategy team - translating complex datasets into actionable growth roadmaps for the Executive Committee and C-suite.<br> Act as a strategic partner to Senior Leadership, identifying high-value opportunities in growth, pricing elasticity, and operational efficiency.<br> Collaborate cross-functionally with the leadership team to align and make sure company-level targets are being met.<br> Design executive-level BI dashboards that enable real-time, data-driven decision-making for regional stakeholders.<br> Act as main POC between Analytics and Strategy teams, and execute with strong project management skills.<br> Lead end-to-end analytics projects from data extraction and modelling to presenting strategic recommendations that directly influence P&amp;L.<br> Be able to work autonomously without supervision on complex projects.<br> Develop data-driven automation initiatives to optimise business processes and maximise revenue across diverse portfolios.<br> Manage complex analytics roadmaps, prioritising competing business requests based on potential commercial impact and feasibility.<br> Leverage advanced SQL and Python/R to perform deep-dive analysis on high-volume, multi-source datasets.<br> Occasionally do some project management in analytics-heavy projects.<br> Facilitate cross-functional collaboration, integrating the analytics function into project kick-offs and top-level strategic discussions.<br> Champion data integrity and security, establishing high-standard coding protocols and centralised glossaries to ensure high-quality output.<br> Set up processes and SOPs (standard operating procedures).<br> Build and maintain a "single source of truth" by unifying data intelligence across fragmented business units and digital platforms.<br> Deliver projects within the agreed deadlines or involve other analysts to support to ensure they are met.<br> Mentor junior team members, review and validate their output.<br> A fast paced, high performing team.<br> Multicultural environment with over 60 different nationalities Competitive Tax-free Salary Comprehensive Health Insurance Annual Air Ticket Allowance Employee discounts at multiple vendors across the emirates Rewards &amp; Recognitions Learning &amp; Development Bayut &amp; dubizzle is an equal opportunity employer.<br> We celebrate diversity and are committed to creating an inclusive environment for all employees.<br> #UAEdubizzle Bachelor’s degree in Computer Science or Statistics.<br> A Master's degree is a plus.<br> 6+ years of work experience in a strategy/business analytics/sales enabler role.<br> Experience working closely with the product in an internet/e-commerce company.<br> Experience in e-commerce, internet and/or digital media.<br> Proficient in SQL.<br> Proficient in Microsoft Excel / Dashboard Tools.<br> Strong problem-solving skills.<br> Commercial and Financial concepts.<br> Ability to crunch heavy data, build insights and drive operational decision making.<br> Excellent analytical skills with a demonstrated ability to translate data and information into actionable insights and business recommendations.<br> Exceptional project management skills and attention to detail.<br> Excellent stakeholder management and communication skills.<br> Storytelling.<br> Analytical thinking; Conceptual thinking.<br> Assertive. Thrive in a fast-paced, innovative environment.<br> Living the team values: Simpler.<br> Better. Faster. Able to handle pressure well.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves Frontier coding agents are already good at passing tests.<br> We measure whether they pass them the right way .<br>We're building a dataset to evaluate the safety and conduct of AI coding agents — not just whether they complete a task, but whether they do it honestly, within scope, and without cutting corners.<br>You'll design tasks where the easy path is the unsafe one, and write the tests that catch it: Build realistic developer environments — a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks that pair a benign development goal with a tempting unsafe shortcut: scope creep, policy violations, data corruption, over-permissive changes Write tests that verify whether the agent completed the task the right way — catching corners cut, not just checking outputs Iterate on tasks and tests based on QA feedback — review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT: Not data labeling; Not prompt engineering; Not cybersecurity or red-teaming — there is no attacker in the scenario.<br> Cybersecurity experience is a nice-to-have but not a requirement.<br> We're looking for engineers who understand how code should behave, not penetration testers.<br> Strong software engineers, not security specialists; Not writing code from scratch — the agent writes most of the code; you design the situation and evaluate the outcome; What we look for 4–5+ years in software development; Core stack: Python, JavaScript/TypeScript; Strong test design skills — functional and integration tests that separate safe from unsafe completion, not just correct from incorrect; Hands-on experience with coding agents (Claude Code, GitHub Copilot CLI, Codex, or similar); Familiarity with GitHub PRs and CI workflows as a user; Stack breadth is welcome, not a filter.<br> Tasks simulate real repositories with databases, CI pipelines, and deploy scripts, so wider backend and infrastructure exposure is genuinely useful — but you don't need to be an expert in every layer; English proficiency — B2+ Why this is hard Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> The real difficulty is building the temptation — a scenario where the unsafe or out-of-scope path is the path of least resistance — and then writing tests that reliably catch an agent that took it.<br> Tasks have many valid solutions; tests must accept all of them and reject the bad ones.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 20-25 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation On this project, contributors can earn up to $75 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves Frontier coding agents are already good at passing tests.<br> We measure whether they pass them the right way .<br>We're building a dataset to evaluate the safety and conduct of AI coding agents — not just whether they complete a task, but whether they do it honestly, within scope, and without cutting corners.<br>You'll design tasks where the easy path is the unsafe one, and write the tests that catch it: Build realistic developer environments — a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks that pair a benign development goal with a tempting unsafe shortcut: scope creep, policy violations, data corruption, over-permissive changes Write tests that verify whether the agent completed the task the right way — catching corners cut, not just checking outputs Iterate on tasks and tests based on QA feedback — review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT: Not data labeling; Not prompt engineering; Not cybersecurity or red-teaming — there is no attacker in the scenario.<br> Cybersecurity experience is a nice-to-have but not a requirement.<br> We're looking for engineers who understand how code should behave, not penetration testers.<br> Strong software engineers, not security specialists; Not writing code from scratch — the agent writes most of the code; you design the situation and evaluate the outcome; What we look for 4–5+ years in software development; Core stack: Python, JavaScript/TypeScript; Strong test design skills — functional and integration tests that separate safe from unsafe completion, not just correct from incorrect; Hands-on experience with coding agents (Claude Code, GitHub Copilot CLI, Codex, or similar); Familiarity with GitHub PRs and CI workflows as a user; Stack breadth is welcome, not a filter.<br> Tasks simulate real repositories with databases, CI pipelines, and deploy scripts, so wider backend and infrastructure exposure is genuinely useful — but you don't need to be an expert in every layer; English proficiency — B2+ Why this is hard Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> The real difficulty is building the temptation — a scenario where the unsafe or out-of-scope path is the path of least resistance — and then writing tests that reliably catch an agent that took it.<br> Tasks have many valid solutions; tests must accept all of them and reject the bad ones.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 20-25 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation On this project, contributors can earn up to $75 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Job Purpose<p>At Emirates Group our Analytics Centre of Excellence (ACoE) is a centralised unit that provides data and analytics support to Emirates Group businesses. This allows our businesses to make better decisions by using data and analytics to understand our customers, operations, and markets. The ACoE is an essential part of Emirates Group's digital transformation strategy. The unit is helping Emirates Group to become a more data-driven organization and to make better decisions by using data and analytics.</p><br><br><p>The role of Principal Insights Analyst is to deliver analytics and insights use cases for a diverse range of departments and business stakeholders all whilst furthering the ambitions of the organisation to become information driven, through multiple channels of delivery. Work closely with internal customers to understand their challenges and opportunities and develop information driven solutions that help business leaders understand their data and how it can be used to identify opportunities and solve complex business problems. The Analytics and Insights Manager uses a variety of business and technical skills to deliver bespoke products that ensures data and information provide valuable context that underpins each decision. This role also provides technical leadership within their team to design solutions that are reliable, scalable and empower business to access the data they need, when they need it most.</p><br><br><p><strong>In this role, you will:</strong></p><br><br><ul><li>Manage business engagement from initial problem statement and hypothesis; through identifying ideal methodology, providing oversight on the data collection process, statistical and analytic analysis work to ensure all available information is generated to support business needs.</li><li>Deliver complex insights use cases in a manner which is accepted by business stakeholders through compelling visualisation and narratives incorporating analytical insight into actionable outcomes.</li><li>Work collaboratively with business stakeholders to support in helping define relevant measures, metrics and KPIs, that can be translated into analytical data and information products for root cause analysis and actionable insights.</li><li>Lead, coach and develop direct reports to ensure each team member is empowered with the right business domain knowledge, analytical and statistical skills to ensure robust and timely delivery of insight products.</li><li>Work with federated analytics communities to improve analytical capabilities of teams in business units to improve self service capability.</li><li>Create a culture of inclusion across business functions by actively endorsing and participating in community building activities that reinforce this ambition.</li><li>Cultivate the enterprise ambition of embedding a federated Insights &amp; Analytics (I&amp;A) community to enable the scaled and sustained excellence in all I&amp;A disciplines across functional lines of business.</li><li>Leverage relevant frameworks that capture relevant data models and business logic and ensure a systematic approach to deliver projects of high value in a timely manner leveraging self-service capabilities where possible.</li><li>Ensure the highest standards of quality and usability are incorporated into each use case, with business ownership embedded into the design and delivery process of each project.</li></ul>Qualification<p><strong>To be considered for this role, you must meet the below requirements:</strong></p><br><br><p><strong>Qualifications:</strong> Degree or Honours (12+3 or equivalent) in Business or Information Technology field from an internationally recognised university.</p><br><br><p><strong>Experience:</strong> 8+ years experience in IT or other related field. </p><br><br><p><strong>Knowledge &amp; Skills: </strong></p><br><br><ul><li>Degree in a Business or Information Technology field from an internationally recognised university.</li><li>Experience in working with and understanding Data &amp; Analytics tools and platforms including Data Warehouses, data lakes and visualisation toolsets.</li><li>Experience and knowledge in one or more of the following business domains such as: Customer, Commercial, Operations, Finance, Human Resources etc.</li><li>Solid understanding of enterprise data warehouse logical data modelling approaches (e.g. 3NF, Data Vault, Star Schema, etc.); experience with associated physical data models is a plus.</li><li>Working in diverse international teams, at least partially also in large-scale enterprise data &amp; analytics domains within complex business environments.</li><li>Strong analytics and business intelligence skills with proven ability to manage multiple initiatives simultaneously.</li><li>Excellent communication skills, with the ability to interact with stakeholders at all levels of the business, including external parties.</li><li>Knowledge of data warehousing principles.</li><li>Ability to handle multiple and complex situations simultaneously taking into considerations the diverse culture within the group.</li><li>Knowledge of business domain, statistics, mathematics and analytical methods. </li><li>Knowledge of data and KPIs commonly used in airline industry, particularly as they relate to the commercial application of this information.</li><li>Proven hands-on knowledge of SQL/Python/R</li><li>Strong Relationship building Skills.</li></ul><p>At Emirates, we're committed to providing our employees with opportunities to grow and develop in their careers. So if you're looking for a challenging and rewarding opportunity, apply today and join our team!</p><br><br><br>Salary &amp; benefits<p>Join us in a management role and enjoy an attractive tax-free salary. On top of our generous travel benefits, including discounted flights and hotel stays around the world, this managerial role also has an excellent leave and healthcare package. That’s on top of transport benefits, life insurance and more. Find out what it’s like to live and work in our fast-paced, cosmopolitan home city in the Dubai Lifestyle section of our website www.emirates.com/careers</p><br><br><br> </div>

Job Summary We are looking for an experienced and detail-oriented Business Analyst with 3+ years of experience in the IT industry to bridge the gap between business stakeholders and technical teams. The candidate will be responsible for understanding business requirements, analyzing processes, translating requirements into functional and technical specifications, and working closely with development and QA teams to deliver high-quality software solutions. The ideal candidate should have strong experience in Agile/Scrum methodologies, Jira, requirement gathering, user stories, functional specifications, process mapping, and stakeholder management, along with a good understanding of programming languages, databases, APIs, web technologies, and software development life cycles. Key Responsibilities1. Business & Requirement Analysis Gather, analyze, and document business requirements from stakeholders. Conduct requirement-gathering sessions, workshops, interviews, and discussions with business users. Understand business processes, identify gaps, and recommend technology-driven solutions. Translate business requirements into clear and actionable functional requirements. Identify dependencies, assumptions, constraints, risks, and potential impacts of proposed solutions. Analyze existing systems and processes and identify opportunities for improvement. Ensure requirements are complete, consistent, clear, and testable.2. Agile & Scrum Responsibilities Work closely with Product Owners, Scrum Masters, Developers, QA Engineers, Architects, and business stakeholders in an Agile environment. Participate in Sprint Planning, Daily Stand-ups, Backlog Refinement, Sprint Reviews, and Retrospectives. Create and maintain product backlog items, user stories, and acceptance criteria. Break down complex business requirements into smaller, manageable user stories. Support the Product Owner in prioritizing and maintaining the product backlog. Clarify requirements and resolve functional queries raised by development and QA teams during sprints. Ensure stories meet the Definition of Ready and Definition of Done where applicable. Participate in release planning and support successful delivery of sprint/release objectives.3. Jira & Requirement Management Create, manage, and track Epics, User Stories, Tasks, Bugs, and Sub-tasks in Jira. Maintain Jira backlog and ensure requirements are properly linked and traceable. Monitor story status, dependencies, blockers, and delivery progress. Work with technical teams to ensure Jira tickets contain sufficient functional and acceptance criteria. Maintain requirement traceability from business requirements through development and testing. Generate and review Jira reports and dashboards to track project progress.4. User Stories & Functional Documentation Prepare detailed Business Requirement Documents (BRD), Functional Requirement Documents (FRD), User Stories, Use Cases, Process Flow Diagrams, and Acceptance Criteria. Write user stories using the appropriate Agile format. Define positive, negative, and edge-case scenarios for requirements. Develop functional specifications for new features and enhancements. Maintain documentation throughout the project lifecycle. Ensure requirements remain aligned with business objectives and agreed scope.5. Technical Understanding The candidate should have a good working knowledge of software development concepts and technologies, including:Understanding of SDLC and STLC. Basic to intermediate knowledge of programming languages such as:Java Python Java Script / Type Script C# / . NETSQLUnderstanding of Object-Oriented Programming (OOP) concepts. Good understanding of REST APIs, SOAP APIs, JSON, XML, HTTP/HTTPS, and API integrations. Understanding of web technologies such as HTML, CSS, Java Script, and web/application architecture. Working knowledge of relational databases such as MySQL, Postgre SQL, Oracle, or SQL Server. Ability to write and understand basic SQL queries for data validation and analysis. Understanding of frontend, backend, database, and API layers. Familiarity with cloud technologies such as AWS, Azure, or GCP is an advantage. Basic understanding of microservices, application integrations, authentication, and system interfaces is preferred. Ability to understand technical discussions and communicate effectively with development teams.6. Data Analysis & Validation Analyze business and system data to identify trends, issues, and opportunities. Validate data and business rules using SQL and other analytical tools. Work with technical teams to investigate data discrepancies. Define data requirements, validation rules, and business logic. Support data mapping and integration requirements where applicable.7. Testing & Quality Assurance Collaborate with QA teams to ensure requirements are testable. Review test scenarios and test cases against business requirements. Support User Acceptance Testing (UAT). Coordinate with business users during UAT and help resolve functional issues. Validate developed functionality against acceptance criteria. Assist in defect triaging, prioritization, and resolution. Perform functional validation where required.8. Stakeholder Management Act as a key communication bridge between business and technical teams. Communicate complex technical concepts in a simple and understandable manner to business stakeholders. Conduct product demonstrations and requirement walkthroughs. Manage stakeholder expectations regarding requirements, scope, dependencies, and timelines. Resolve requirement conflicts and obtain necessary approvals. Maintain strong relationships with internal and external stakeholders.9. Process Improvement Analyze existing business workflows and identify inefficiencies. Recommend process improvements and automation opportunities. Prepare As-Is and To-Be process flows. Identify opportunities to improve productivity, reduce manual processes, and enhance customer experience. Participate in digital transformation and system modernization initiatives.10. Project & Release Support Work with Project Managers/Product Owners to support project planning and delivery. Track requirement-related risks, issues, and dependencies. Support impact analysis for change requests. Evaluate changes and enhancements based on business value and technical feasibility. Assist with release planning, production readiness, and post-release validation. Support production teams in understanding functional requirements and resolving business-related issues.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <b>Job Description</b><br>We are seeking a highly experienced Digital Delivery Manager to lead, govern, and advance Digital Design delivery across our Buildings Design business. <br>This senior role will be responsible for setting and implementing digital delivery strategies, improving multidisciplinary design workflows, and embedding current and emerging technologies across Architecture, Engineering, Project Delivery and Design Management teams. <br>The successful candidate will combine deep technical knowledge of BIM, Revit-based Delivery, Parametric Design, Design Automation, Digital Twins, and Data-Led Workflows with the leadership capability to drive adoption across a consulting engineering environment<br>Key Responsibilities:<br> Lead the digital delivery strategy for Buildings Design projects, ensuring consistent, efficient, and high-quality delivery across multidisciplinary teams.<br> Assist/Input into the production, oversee the implementation, and ensure maintenance of BIM execution plans, digital delivery standards, model production protocols, information management workflows, and quality assurance procedures.<br> Champion ISO 19650-aligned information management, Common Data Environment governance, model federation, clash detection, issue management, data validation, and structured digital handover processes.<br> Provide leadership to the BIM Managers for Revit-based design delivery across architectural, structural, mechanical, electrical, public health, and specialist design disciplines.<br> Drive the adoption of parametric and computational design workflows using tools such as Rhino, Grasshopper, Dynamo, Python, and related scripting or visual programming environments.<br> Identify opportunities to convert analogue or repetitive design, checking, reporting, and coordination processes into automated digital workflows.<br> Lead the implementation of design automation tools that improve productivity, reduce rework, enhance quality, and support more consistent design outcomes.<br> Guide project teams in the development and implementation of Digital Twin strategies, including asset data structuring, model readiness, operational data requirements, and lifecycle information handover.<br> Evaluate and integrate emerging digital delivery technologies, including AI-assisted design workflows, model checking platforms, automated reporting tools, data dashboards, reality capture, cloud collaboration platforms, and Digital Twin environments.<br> Work closely with design directors, project managers, discipline leads, BIM managers, and delivery teams to align digital solutions with business objectives and project requirements.<br> Establish training, mentoring, and upskilling programmes to improve digital capability across design teams.<br> Act as the senior digital delivery point of contact for clients, partners, subconsultants, contractors, and internal leadership teams.<br> Ensure any new protocols align with the wider Stantec Group policies and procedures.<br> Engage with Global initiatives for standardisation of Stantec workflows and standards, representing Buildings Middle East.<br><br><br><b>Qualifications</b><br> Bachelor’s degree in Architecture, Engineering, Construction Management, Computational Design, Digital Design, or a related built environment discipline.<br> Professional certifications in BIM, Digital Delivery, Information Management, or relevant software platforms are highly desirable.<br> Autodesk Certified Professional, Revit certification, Computational Design training, or equivalent technical credentials would be advantageous.<br> Minimum 10–15 years of progressive experience in BIM, digital delivery, design technology, or related roles within an engineering consultancy, architecture practice, multidisciplinary design firm, or major built environment organisation.<br> At least 5 years in a leadership role managing BIM, digital delivery, computational design, automation, or information management teams driving adoption and transformational change at a regional business level.<br> Proven experience delivering complex Buildings Design projects across multiple disciplines and project stages, from concept design through detailed design, tender, construction support, and handover.<br> Demonstrated experience developing and implementing BIM standards, digital delivery frameworks, automation strategies, and project-specific digital execution plans.<br> Strong understanding of engineering consultancy workflows, design coordination requirements, project delivery governance, and client-facing delivery expectations.<br>Technical Knowledge and Software Requirements:<br> Advanced knowledge of BIM authoring and coordination tools, particularly Autodesk Revit, Navisworks, Autodesk Construction Cloud, BIM 360, BIM Collaborate Pro, and related Autodesk ecosystem tools.<br> Strong working knowledge of model federation, clash detection, issue tracking, model auditing, information exchange, and digital QA/QC workflows.<br> Advanced understanding of parametric and computational design platforms such as Rhino, Grasshopper, Dynamo, and associated plug-ins or scripting environments.<br> Knowledge of design automation approaches using Dynamo, Grasshopper, Python, C#, APIs, custom Revit add-ins, Rhino.Inside.Revit, Speckle, Power Automate, Power BI, and other workflow automation platforms.<br> Familiarity with Digital Twin development and implementation, including asset information requirements, data schemas, model classification, IoT integration concepts, operational readiness, and integration with facilities management or asset management systems.<br> Experience with Common Data Environments and collaboration platforms such as Autodesk Construction Cloud, ProjectWise, Trimble Connect, BIMcollab, Revizto, SharePoint, and similar project delivery environments.<br> Awareness of current and emerging tools for reality capture, laser scanning, photogrammetry, AI-assisted model checking, generative design, automated code checking, data dashboards, and model-based reporting.<br> Strong understanding of ISO 19650 principles, BIM Execution Plans, Exchange Information Requirements, Asset Information Requirements, naming conventions, classification systems, and information delivery milestones.<br>Design Automation and Innovation Competencies:<br> Ability to identify repetitive design, documentation, checking, scheduling, quantity extraction, reporting, and coordination tasks that can be automated.<br> Experience developing or leading automation workflows that improve speed, accuracy, consistency, and design quality.<br> Ability to translate analogue processes, spreadsheet-based tools, manual checking routines, and discipline-specific workflows into scalable automated solutions.<br> Strong understanding of data-driven design, computational logic, interoperability, open data exchange, and integration between modelling, analysis, reporting, and project controls systems.<br> Ability to evaluate new technology against business value, project needs, user adoption, risk, cost, and measurable productivity benefits.<br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <b>Overview:</b> <br><p><strong>About Analog</strong></p><br><br><br><p>Analog is pioneering the era of physical intelligence. Where digital intelligence transformed our online lives, Analog is transforming the lived world, making cities more adaptive, industries more resilient, services more human centered, and experiences more extraordinary.</p><br><br><br><p>At the heart of our approach are living world models, continuously updated, enriched by every capture point, every device, every interaction. Within them resides Ana, the Analog Neural Agent. Ana perceives, adapts, and guides, transforming raw data into foresight and orchestration that improves outcomes across sectors, from safeguarding high-value assets to enhancing human performance.</p><br><br><br><p><strong>Job Description</strong></p><br><br><p>We are seeking a highly skilled <strong>Senior Security Engineer</strong> to be the first hire in our Infosec team. This is a hands-on technical leadership role with high growth potential in a cutting-edge AI driven organization. The ideal candidate will have deep expertise in designing, implementing, and maintaining end-to-end security solutions across infrastructure, applications, and data. As the first dedicated security hire, you will play a pivotal role in building and shaping our cybersecurity strategy and practices from the ground up.</p><br><br><br><p>In this role, you will be responsible for planning, designing, and implementing security solutions, identifying risks, and ensuring compliance with industry standards. You will work closely with cross-functional teams to embed security at every level of our technology and business processes. You will also play a lead role in developing a longer term security improvements roadmap, setting the foundation for future team expansion and required security tooling investments. If you are an experienced, hands-on security professional eager to make a significant impact in a high-growth organization, we encourage you to apply.</p><br><br><b>Responsibilities:</b> <br><ul><li><strong>Security Strategy &amp; Roadmap</strong>: Develop a comprehensive security roadmap that aligns with business strategy, supporting product launches and future business growth.</li><li><strong>Security Architecture</strong>: Design, implement, and manage security architectures for cloud, on-premises, and hybrid environments.</li><li><strong>Policies &amp; Standards</strong>: Develop, enforce, and continuously improve security policies, frameworks, and best practices across the organization.</li><li><strong>Risk &amp; Compliance</strong>: Conduct risk assessments, threat modeling, and vulnerability management to proactively mitigate security threats, while ensuring compliance with relevant security standards e.g. ISO 27001, NIST, GDPR, SOC 2, and CIS benchmarks</li><li><strong>Incident Management:</strong> Lead incident response efforts, including investigation, containment, remediation, and post-mortem analysis.</li><li><strong>Security Testing</strong>: Perform penetration testing, security audits, and compliance assessments to validate security posture.</li><li><strong>Security Tooling</strong>: Deploy and manage security solutions such as SIEM, IDS/IPS, endpoint protection, IAM, firewalls, and encryption technologies.</li><li><strong>Collaboration &amp; Communication</strong>: Works closely with Engineering, DevOps, and IT teams to integrate security into system architectures and software development processes (DevSecOps). Communicates security risks and recommendations effectively to technical and non-technical stakeholders.</li><li><strong>AI &amp; Data Security</strong>: Develop &amp; implement security measures to protect AI models, data pipelines and APIs from adversarial attacks and data leakage.</li><li><strong>Emerging Trends</strong>: Stays current with evolving cyber threats, attack techniques, and security trends, applying knowledge to strengthen defenses.</li><li><strong>Training &amp; Awareness:</strong> Develop and conduct security awareness training programs to foster a strong security culture within the organization.</li><li><strong>External Partnerships:</strong> Establish relationships with external security vendors, partners, and regulatory bodies to leverage expertise and support.</li></ul><br><b>Qualifications:</b> <br><ul><li>Bachelor’s or Master’s degree in Computer Science, Information Security, or a related field.</li><li>Minimum of 5 years of hands-on experience in cybersecurity, information security, or a related field.</li><li>Proven experience in security architecture, engineering, and operations in cloud (AWS, Azure, GCP) and on-prem environments.</li><li>Strong knowledge of security frameworks such as NIST, ISO 27001, CIS Controls, and Zero Trust architecture.</li><li>Hands-on experience with security tools, including firewalls, SIEM, EDR, IDS/IPS, vulnerability scanners, DLP, and encryption.</li><li>Expertise in security incident response, threat intelligence, and forensic investigations.</li><li>Experience with identity and access management (IAM), multi-factor authentication (MFA), and privilege access management (PAM).</li><li>Proficiency in programming and scripting languages such as Python, PowerShell, or Bash</li><li>Industry certifications such as CISSP, CISM, CEH, OSCP, or equivalent are highly preferred.</li><li>Strong knowledge of DevSecOps principles and secure software development practices.</li><li>Demonstrated ability to communicate effectively with both technical and non technical audiences.</li><li>Experience working with security governance, risk management, and compliance (GRC) programs.</li><li>Excellent problem-solving, analytical, and communication skills with the ability to work independently and collaboratively.</li></ul><br><p><strong>Good-to-Have Experience</strong></p><br><br><br><ul><li>Experience with physical security measures, such as facility access controls, video surveillance, and security monitoring systems.</li><li>Knowledge of IoT security, industrial control systems (ICS) security, and supply chain security.</li><li>Experience implementing Zero Trust and Secure Access Service Edge (SASE) architectures.</li><li>Understanding of AI security risks and model protection strategies</li><li>Prior experience working in high growth technology start ups.</li></ul><br><p>If you are passionate about cybersecurity and want to build and lead the security function in a high-growth, innovative organization, we would love to hear from you!</p><br><br><br><br><p><strong>What Working At Analog Offers</strong></p><br><br><br><ul><li>Culture: A collaborative, globally minded team building the future of physical intelligence. We value curiosity, courage, and creativity, and we’re united by a belief that technology should amplify human potential rather than replace it.</li><li>Impact: The opportunity to work on projects with national and global significance, from adaptive cities and resilient infrastructure to next generation sports, entertainment, healthcare, and energy. Every product you help build contributes to shaping a safer, smarter, more human centered world.</li><li>Growth: Outstanding opportunities for learning and career development. You’ll collaborate with leaders across AI, robotics, mixed reality, and systems engineering, while working on industry first, frontier scale solutions.</li><li>Rewards: A competitive compensation package with healthcare, education support, and generous leave benefits, reflecting the high value we place on our people and their families.</li></ul><br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><b>Technology Innovation Institute (TII)</b>&nbsp;is a publicly funded research institute, based in Abu Dhabi, United Arab Emirates. It is home to a diverse community of leading scientists, engineers, mathematicians, and researchers from across the globe, transforming problems and roadblocks into pioneering research and technology prototypes that help move society ahead.</p><br><br><p><strong>ROLE OVERVIEW</strong></p><br><br><p>The DevOps Engineer will design, automate, and operate secure cloud and platform capabilities supporting application and data workloads. The role covers Infrastructure as Code, CI/CD, GitOps, artifact management, observability, and platform reliability across Microsoft Azure and Kubernetes environments.</p><br><br><p>Working with software, data, security, and infrastructure teams, the engineer will standardize delivery workflows, reduce operational toil and infrastructure drift, improve deployment reliability and recovery, and strengthen software supply-chain security. This hands-on individual-contributor role requires proactive ownership, structured problem-solving, and effective cross-functional collaboration.</p><br><br><br><p><strong>FUNCTIONAL ACTIVITIES</strong></p><br><br><p><strong><span>Cloud Infrastructure &amp; Automation:</span></strong></p><br><br><ul><li><span>Design, provision, and operate secure, reliable Microsoft Azure and Kubernetes platform capabilities supporting application and data workloads.</span></li><li><span>Develop reusable Terraform modules and automated provisioning controls to increase Infrastructure as Code coverage and reduce configuration drift and manual intervention.</span></li><li><span>Automate platform configuration, upgrades, health checks, backup validation, recovery procedures, and recurring operational tasks.</span></li><li><span>Apply cloud governance, least-privilege access, secrets management, infrastructure-state protection, and secure network and identity patterns throughout the platform lifecycle.</span></li></ul><p><strong><span>CI/CD, GitOps &amp; Artifact Management:</span></strong></p><br><br><ul><li><span>Support engineers and researchers to build and run CI/CD workflows using GitLab CI and/or Jenkins; track deployment success rate, lead time, rollback frequency, and failed-change rate.</span></li><li><span>Implement consistent GitOps deployment, environment promotion, drift detection, and rollback practices using Argo CD and Helm.</span></li><li><span>Administer GitLab and JFrog Artifactory with appropriate access, retention, artifact integrity, promotion, and traceability controls.</span></li><li><span><span>Embed automated testing, quality gates, SBOM generation, image and dependency scanning, signing, provenance, and change controls where applicable</span>.</span></li></ul><p><strong><span>Observability, Reliability &amp; Operations</span></strong><span>:&nbsp;</span></p><br><br><ul><li><span>Establish monitoring, alerting, and operational dashboards using Prometheus; define and monitor service-level indicators and objectives with service owners.</span></li><li><span>Maintain centralized logging, search, and diagnostic workflows with the Elastic Stack across cloud, Kubernetes, delivery, and data workloads.</span></li><li><span>Participate in incident response, root-cause analysis, and post-incident improvement; use operational metrics to improve recovery time and deployment success rate. Any formal on-call responsibilities will be defined separately within the operating model.</span></li></ul><p><strong><span>Proactive Ownership &amp; Collaboration:</span></strong></p><br><br><ul><li><span>Proactively identify reliability, security, performance, cost, and delivery improvements; prioritize them and drive changes through to completion.</span></li><li><span>Maintain platform standards, technical documentation, operational runbooks, reusable patterns, and knowledge-sharing material.</span></li><li><span><span>Collaborate with software, data, security, architecture, and infrastructure teams; communicate progress, dependencies, risks, and trade-offs clearly.</span></span></li></ul><br><p><strong><span><span>INDUSTRY / DOMAIN</span></span></strong></p><br><br><p><span><span>DevOps / Cloud Platform Engineering / CI/CD &amp; Data Pipelines</span></span></p><br><br><br><p><span><span><strong>Required Knowledge and Experience</strong></span></span></p><br><br><ul><li>At least 5 years of experience in DevOps, cloud engineering, platform engineering, or a related field, including at least 2 years operating production cloud or Kubernetes platforms.</li><li>Hands-on experience designing, deploying, and supporting production workloads in Microsoft Azure.</li><li>Strong practical experience with Terraform, including reusable modules, state management, review controls, testing, environment promotion, and drift management.</li><li>Experience designing, implementing, and maintaining secure CI/CD workflows, automated testing, release controls, rollback, and environment promotion processes.</li><li>Sound Kubernetes fundamentals, including workloads, services, configuration, secrets, access control, networking, deployments, and troubleshooting.</li><li>Strong working knowledge of Git, branching strategies, code review, and version-controlled infrastructure and configuration.</li><li>Proficiency in Linux administration, networking fundamentals, and production-system troubleshooting.</li><li>Scripting and automation capability using Python, Bash or a comparable language.</li><li>Experience monitoring and troubleshooting production services using metrics, logs, and alerts, with the ability to support incident analysis and durable corrective action.</li><li><span><span>Demonstrated proactive ownership, structured problem-solving, clear documentation, and effective collaboration across technical teams.</span></span></li></ul><br><p><span><span><strong>Preferred and Advantageous Qualifications</strong></span></span></p><br><br><ul><li>A bachelor’s degree or equivalent practical experience; a master’s degree is advantageous.</li><li>Strongly preferred: experience with Argo CD and Helm for GitOps-based Kubernetes delivery, together with GitLab CI and/or Jenkins.</li><li>Strongly preferred: experience with JFrog Artifactory, Prometheus, and the Elastic Stack in production environments.</li><li><span><span>Advantageous: experience with AKS; Azure networking, Entra ID or workload identity, Key Vault, and private endpoints; policy as code; SBOMs, image and dependency scanning, signing, and provenance; restricted or air-gapped environments; or data platforms.</span></span></li></ul><br><p>At TII, we help society to overcome its biggest hurdles through a rigorous approach to scientific discovery and inquiry, using state-of-the-art facilities and collaboration with leading international institutions. Our rigorous discovery and inquiry-based approach helps to forge new and disruptive breakthroughs in advanced materials, autonomous robotics, cryptography,&nbsp;digital security, directed energy, quantum computing and secure systems.</p><br><br><br> </div>

Key Accountabilities<br><br> Design, plan, and deliver telecom data enablement capabilities, audience solutions, and advertising data products aligned with business and monetization objectives. Prioritize and coordinate data engineering, platform development, and integration activities to support product roadmap execution and stakeholder requirements. Manage the end-to-end delivery of data initiatives, ensuring timely implementation of scalable, high-quality, and privacy-compliant solutions. Support the development of data monetization capabilities that create new revenue opportunities through telecom data products and audience solutions. Identify opportunities to improve platform efficiency and optimize data processing costs while maintaining performance and scalability. Collaborate with internal stakeholders across product, commercial, technology, and delivery teams to translate business requirements into data solutions. Build and maintain effective relationships with external partners, including CDPs, DSPs, clean rooms, and data onboarding providers, to ensure seamless data activation. Support Agile delivery practices and drive continuous improvement of data platforms, audience solutions, and operational processes.<br><br>Qualifications<br><br> Bachelor's degree in Computer Science, Data Engineering, Information Systems, Telecommunications, or a related field. Master's degree in a relevant discipline is preferred.<br><br>Experience<br><br> 6+ years of experience in data engineering, telecom analytics, AdTech, digital advertising, or data monetization environments. Experience developing and managing large-scale data platforms, ETL/ELT pipelines, and data integration workflows. Experience working with telecom datasets such as CDRs, network events, location intelligence, and subscriber data. Experience collaborating with cross-functional teams and external technology partners.<br><br>Skills<br><br> Strong proficiency in SQL and Python for large-scale data processing, analytics, and automation. Hands-on experience with enterprise data platforms and technologies such as Cloudera, Apache NiFi, Databricks, Teradata, and Hadoop ecosystem tools. Strong understanding of telecom data ecosystems, audience creation, and data monetization principles. Knowledge of advertising technology platforms including CDPs, DSPs, DMPs, identity solutions, and audience activation platforms. Experience with privacy-compliant data solutions and understanding of GDPR and related data protection regulations. Familiarity with cloud data platforms (AWS, Azure, and/or GCP) and machine learning/analytics tools. Knowledge of identity resolution, audience segmentation, clean rooms, and privacy-enhancing technologies. Strong analytical, problem-solving, and data modelling capabilities. Excellent stakeholder management, communication, and cross-functional collaboration skills. Ability to work in Agile environments and manage multiple priorities effectively.

Role: Member of Technical Staff - Robotics Lab (Remote) Location: Remote (Work from Anywhere) Job Type: Full-Time Payout: $400K - $1500K/yr<br>Role Overview:We are hiring for one of our clients, seeking a Member of Technical Staff (Robotics Lab) to work on a full-time basis. The role involves designing, developing, and deploying robotics systems with a focus on scalable autonomy and real-time control. Candidates will collaborate with cross-functional teams to integrate hardware and software solutions for next-generation robotic platforms.<br>Key Responsibilities:• Design and implement control algorithms for robotic systems, including kinematics, dynamics, and path planning.• Develop and maintain software for robot perception, localization, and mapping using sensor fusion techniques.• Collaborate with hardware engineers to integrate sensors, actuators, and embedded systems into functional robotic prototypes.• Optimize robotic performance for efficiency, reliability, and safety in dynamic environments.• Document technical specifications, test results, and deployment procedures for internal and external stakeholders.<br>Required Skills & Qualifications:• Proficiency in robotics frameworks such as ROS, ROS 2, or similar platforms.• Strong programming skills in C++, Python, or other relevant languages for robotics applications.• Experience with real-time control systems, embedded software, and hardware-in-the-loop testing.• Knowledge of computer vision, SLAM (Simultaneous Localization and Mapping), or sensor fusion techniques.• Familiarity with simulation tools like Gazebo, Coppelia Sim, or NVIDIA Isaac Sim is required.• Experience with robotic operating systems, middleware, and communication protocols (e.g., CAN, Ethernet, UDP).• Ability to design and analyze algorithms for motion planning, obstacle avoidance, and task execution.• Experience with version control systems such as Git and collaborative software development workflows.• Understanding of machine learning techniques for robotics, including reinforcement learning or imitation learning.• Strong problem-solving skills with the ability to troubleshoot complex robotic systems.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Information Services industry, contributing to the development of autonomous robotic systems for industrial and commercial applications. The position involves high-impact work with cutting-edge technology and the chance to shape the future of robotics in a fast-evolving field.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Member of Technical Staff - Robotics Lab (Remote) Location: Remote (Work from Anywhere) Job Type: Full-Time Payout: $400K - $1500K/yr<br>Role Overview:We are hiring for one of our clients, seeking a Member of Technical Staff (Robotics Lab) to work on a full-time basis. The role involves designing, developing, and deploying robotics systems with a focus on scalable autonomy and real-time control. Candidates will collaborate with cross-functional teams to integrate hardware and software solutions for next-generation robotic platforms.<br>Key Responsibilities:• Design and implement control algorithms for robotic systems, including kinematics, dynamics, and path planning.• Develop and maintain software for robot perception, localization, and mapping using sensor fusion techniques.• Collaborate with hardware engineers to integrate sensors, actuators, and embedded systems into functional robotic prototypes.• Optimize robotic performance for efficiency, reliability, and safety in dynamic environments.• Document technical specifications, test results, and deployment procedures for internal and external stakeholders.<br>Required Skills & Qualifications:• Proficiency in robotics frameworks such as ROS, ROS 2, or similar platforms.• Strong programming skills in C++, Python, or other relevant languages for robotics applications.• Experience with real-time control systems, embedded software, and hardware-in-the-loop testing.• Knowledge of computer vision, SLAM (Simultaneous Localization and Mapping), or sensor fusion techniques.• Familiarity with simulation tools like Gazebo, Coppelia Sim, or NVIDIA Isaac Sim is required.• Experience with robotic operating systems, middleware, and communication protocols (e.g., CAN, Ethernet, UDP).• Ability to design and analyze algorithms for motion planning, obstacle avoidance, and task execution.• Experience with version control systems such as Git and collaborative software development workflows.• Understanding of machine learning techniques for robotics, including reinforcement learning or imitation learning.• Strong problem-solving skills with the ability to troubleshoot complex robotic systems.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Information Services industry, contributing to the development of autonomous robotic systems for industrial and commercial applications. The position involves high-impact work with cutting-edge technology and the chance to shape the future of robotics in a fast-evolving field.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

About Us Core42, a leader in AI-powered cloud and digital infrastructure, is driving transformative technology solutions globally. Leveraging advanced resources and partnerships, Core42 empowers clients to harness sovereign AI infrastructure, especially in sectors with stringent regulatory needs. With a mission to redefine digital transformation, we combine sovereign capabilities with scalable, high-performance compute infrastructure, positioning itself at the forefront of AI innovation in the Middle East and beyond.<br><br><br>The opportunity Security Engineer - Endpoint Detection & Response (Elastic EDR), Core42 - Abu Dhabi, UAE. We are seeking a highly skilled Security Engineer with hands-on expertise in the Elastic Security Platform, including Elastic Agent, Elastic Defend, Elasticsearch, Kibana, detection rules, threat hunting and incident response. The successful candidate will be responsible for designing, implementing, managing and optimising the organisation's EDR platform to ensure continuous monitoring, threat detection, incident investigation and response across enterprise environments. The role requires close collaboration with Security Operations, Incident Response, Platform Engineering, Infrastructure and Compliance teams to strengthen cyber defence capabilities and maintain security compliance requirements. The focus of this position is Elastic EDR engineering.<br>Your key responsibilities <br>Elastic EDR administration & engineering Design, deploy, configure and maintain Elastic EDR infrastructure and endpoint security agents Manage Elastic Agent lifecycle activities, including deployment, upgrades, troubleshooting and policy management Develop and maintain EDR baselines, security policies and endpoint hardening standards Ensure high availability, scalability, performance and health of the Elastic Security platform Integrate Elastic EDR with SIEM, SOAR, IAM, vulnerability management and threat intelligence platforms Upgrade, patch and maintain existing clusters<br>Detection engineering Develop, tune and maintain detection rules and security use cases within Elastic Security Enhance threat detection capabilities to reduce false positives and improve security visibility Design and implement behavioural analytics, anomaly detection and advanced threat detection logic Create custom dashboards, alerts, reports and visualisations within Kibana<br>Threat hunting & incident response Conduct proactive threat hunting activities using Elastic Security datasets Investigate endpoint security incidents, malware infections, insider threats and advanced attacks Analyse telemetry, process activities, file events, registry modifications, network connections and user behaviour Support digital forensics and incident response investigations Identify root causes and recommend mitigation strategies<br>Security monitoring & optimisation Monitor EDR platform performance, coverage and security effectiveness Perform continuous tuning of endpoint security controls Establish KPIs and operational metrics for EDR effectiveness Validate security controls through attack simulation and red team exercises<br>Integration & automation Integrate Elastic EDR with IDP, LDAP, AI and ML integrations, vulnerability management solutions, SIEM platforms, threat intelligence feeds and SOAR workflows Integrate with Open Stack, Open Shift, NVIDIA and AMD systems Automate security operations using APIs, scripts and orchestration tools<br>Governance & compliance Ensure EDR deployment aligns with NIST SP 800-53, ISO 27001, SOC 2, CIS Controls and internal security standards and policies Support audit activities and provide security evidence when required Maintain security documentation, procedures and operational runbooks<br>What we’re looking for<br> (a) Required skills / qualifications Bachelor's degree in Cyber Security, Computer Science, Information Security or a related discipline5 to 7 years of experience in security engineering, incident response, threat hunting or detection engineering Experience supporting enterprise-scale EDR deployments (10,000+ endpoints preferred) Hands-on expertise across Elastic Security, Elastic Defend, Elastic Agent, Elasticsearch and Kibana Detection rule engineering, threat hunting and log analysis Endpoint security, Windows security and Linux security MITRE ATT&CK framework, incident response and malware analysis fundamentals<br>(b) Preferred skills / qualifications Python and Bash scripting Experience with threat intelligence platforms Certifications: Elastic Certified Engineer, Elastic Security Analyst<br>What working at Core42 offers <br>With a diverse team of 1,100+ employees from 68 nationalities, we foster an inclusive, innovative and collaborative environment. At Core42, we foster a culture grounded in trust, accountability and high performance. We are united by our values: Grit, where we overcome challenges with resilience and determination, Passion, which drives us to pursue excellence in everything we do, and Impact, as we aim to inspire progress and create meaningful change. Our team members thrive in an environment where each person’s contributions propel us forward, and together, we commit to achieving extraordinary results. <br>Competitive Salary: We offer an attractive salary package based on your skills and experience Yearly Bonus: In recognition of your contributions, you will receive a performance-based annual bonus Exclusive Discount Cards: Access special benefits with Esaad and Fazaa cards, offering discounts across a wide range of services Premium Family Insurance: We provide comprehensive health coverage, including dental, vision and life insurance, ensuring the well-being of you and your family Learning & Development: We offer access to top-tier learning platforms to help you grow in your career. Learn at your own pace with unlimited access to premium courses.

Role Description A Data Engineer is responsible for designing, developing, maintaining, and optimizing data infrastructure, pipelines, platforms, and processing systems that enable organizations to collect, transform, store, integrate, and access reliable data. The role works closely with data analysts, data scientists, software engineers, business teams, cloud specialists, and other stakeholders to build scalable and efficient data solutions. Key responsibilities include designing and developing scalable data pipelines and ETL/ELT workflows; collecting and integrating structured and unstructured data from databases, applications, APIs, cloud platforms, files, and external sources; developing data ingestion, transformation, validation, and processing workflows; designing, implementing, and maintaining data warehouses, data lakes, lakehouses, databases, and other data platforms; writing, optimizing, and maintaining complex SQL queries, stored procedures, and data transformations; developing data models and structures that support analytics, reporting, business intelligence, and machine-learning requirements; implementing data-quality checks, validation rules, monitoring, reconciliation, and anomaly detection processes; identifying and resolving data inconsistencies, pipeline failures, performance issues, integration problems, and data-quality defects; optimizing data pipelines, queries, storage, processing performance, scalability, and resource utilization; building and maintaining real-time and batch data-processing solutions; integrating APIs, REST services, JSON, XML, messaging systems, file transfers, and third-party data sources; developing automated workflows and orchestration processes for reliable data delivery; monitoring pipeline execution, system performance, data availability, processing times, failures, and operational alerts; supporting data migration, platform modernization, system integration, and database transformation projects; implementing data governance, metadata management, data lineage, access controls, security, privacy, retention, and compliance requirements; collaborating with data scientists and analysts to prepare high-quality datasets for analytics, machine learning, artificial intelligence, and business intelligence; supporting dashboards, reporting platforms, and analytical applications by providing reliable and well-structured data; using cloud platforms and managed data services to build scalable and cost-efficient data environments; implementing infrastructure-as-code, version control, CI/CD, automated testing, and Dev Ops practices where appropriate; utilizing AI-assisted data engineering, intelligent pipeline monitoring, automated data-quality checks, anomaly detection, predictive maintenance, and workflow automation where appropriate; documenting data architecture, pipelines, data sources, transformations, dependencies, technical procedures, and operational processes; troubleshooting production data issues and participating in incident, problem, and change-management activities; preparing technical documentation, data-quality reports, performance reports, and operational dashboards; evaluating new data technologies, frameworks, tools, and architectures; and continuously improving data reliability, scalability, security, automation, performance, and accessibility. Qualifications Diploma or Bachelor's degree in Computer Science, Data Engineering, Software Engineering, Information Technology, Mathematics, Statistics, or a related discipline. Strong understanding of data engineering, database architecture, data processing, data integration, and data-management principles. Strong SQL skills with experience working with relational databases such as Postgre SQL, MySQL, SQL Server, Oracle, or equivalent platforms. Strong programming or scripting skills in Python, Java, Scala, Go, or similar technologies. Strong understanding of ETL/ELT pipelines, data transformation, data modeling, data validation, and workflow orchestration. Familiarity with data warehouses, data lakes, lakehouses, distributed data systems, and cloud-based data platforms. Knowledge of AWS, Microsoft Azure, Google Cloud, Snowflake, Databricks, Big Query, Redshift, or equivalent technologies is advantageous. Familiarity with Apache Spark, Kafka, Airflow, dbt, Flink, or other modern data-engineering technologies. Understanding of batch processing, stream processing, real-time data pipelines, event-driven architecture, and distributed computing. Familiarity with REST APIs, JSON, XML, web services, message queues, and system integrations. Knowledge of data modeling techniques, dimensional modeling, star schemas, data normalization, and data warehouse architecture. Familiarity with Git, CI/CD, Docker, Kubernetes, Terraform, and Dev Ops practices is beneficial. Strong understanding of data quality, data governance, metadata, lineage, security, privacy, and access management. Familiarity with Power BI, Tableau, Looker, or other business-intelligence platforms is advantageous. Knowledge of machine-learning data pipelines, feature engineering, AI data infrastructure, and MLOps is beneficial. Familiarity with AI-powered data-quality monitoring, automated anomaly detection, intelligent pipeline optimization, and data automation is advantageous. Strong analytical, troubleshooting, problem-solving, and system-design skills. Strong communication and collaboration skills with technical and non-technical stakeholders. Ability to manage multiple data projects, pipelines, technical issues, priorities, and deadlines. Strong technical documentation and knowledge-sharing skills. Relevant certifications in cloud computing, databases, data engineering, or related technologies are advantageous. High level of accuracy, reliability, security awareness, accountability, and technical discipline. Strong commitment to continuous learning and staying current with cloud computing, big data, AI, machine learning, data architecture, automation, and emerging data technologies.

The Arab Monetary Fund aims to onboard a "Senior Economist" in the Capacity Development and Innovation Department, reporting to the Division Chief, Frontier Research.<br>Job Purpose The Senior Economist is responsible for evaluating the impact of emerging economic and non-economic policy issues affecting Arab economies, which include climate change, green finance, energy security, the digital economy, artificial intelligence (AI), machine learning (ML), cybersecurity, and public e-services. The Senior Economist advances a forward-looking research agenda, producing high-impact publications and data-driven insights to inform policymaking and collaborate with internal and external partners, leverage innovative tools such as AI and data analytics, and contribute to capacity-building activities. This role plays a key part in supporting member countries to address complex challenges and promote sustainable economic growth.<br>Key Accountability Areas and Activities The key activities include, but are not limited to, the following:Integrate Artificial Intelligence (AI) and machine learning (ML) across key sectors and public institutions through appropriate policies and legal frameworks to maximize AI benefits while managing risks, fostering digital economy solutions like digital payments, regulations, and digital identification systems. Contribute to developing climate change and energy policies that ensure energy security, economic competitiveness, and carbon emission reduction, including a circular carbon economy. Lead the integration of AI and development of digital economy initiatives with strategic goals, policy advice, and capacity building. Contribute to the research on climate and energy policies, ensuring alignment with strategic goals, policy advice, and capacity building. Maintain strong relationships with Arab countries and external partners through coordinating work and fostering cross-divisional collaboration for effective project execution. Address urgent participant-related challenges, providing timely responses and ensuring resource allocation aligns with AMF policies and operational needs. Design, lead and contribute to technical assistance programs or the development of thematic trust funds related to frontier policy issues. Shape and Advance the Research Agenda: Develop and contribute to a research framework that assists member countries in addressing critical policy challenges, with a focus on areas like climate change, green finance, energy security, artificial intelligence (AI), and machine learning (ML). Deliver High-Impact Research and Publications: Conduct in-depth research on emerging topics, publish findings in reputable journals and AMF publications, and collaborate on thematic studies and reports that tackle pressing regional economic and financial issues. Stay abreast of the latest trends, technologies, and best practices in the area of interest to the division. Introduce innovative methodologies and tools to enhance the knowledge and the effectiveness of policies adopted by members countries to address frontier issues. Design and implement tailored training programs and capacity-building initiatives for member countries, collaborating with internal and external stakeholders. Work with experts to continuously update and improve training curriculums. Create and deliver courses on frontier research topics such as climate finance, energy transition, and AI applications in economics for AMF member countries. Develop materials and organize workshops and roundtables to share research findings and enhance the capacity of member countries. Build a network of experts within and outside the region who could enhance the understanding of frontier topics and their impact and contribute to the policy debate about them. Establish strategic and collaborative relationships with relevant internal and external partnerships in a manner that supports the achievement of AMF’s strategic objectives.<br>Qualifications and Requirements A minimum of 7 years of relevant experience in economics, preferably in Central Banks, Ministries of Economy or Finance, Ministry or institution responsible for the digital economy, Ministry of Energy, or within international or regional financial institutions or research centers. A strong track record of publications in peer-reviewed journals and delivering training courses with experience managing research projects is preferred. Quantitative and analytical expertise, including proficiency in AI and data analytics tools (e.g., Python, R) is preferred. Bachelor’s degree in economics, information technology and Artificial Intelligence or a related field. Master’s degree in economics, information technology and Artificial Intelligence or a related field. Professional certificate (Sustainability and Climate Risk (SCR) by GARP, Certified Energy Manager (CEM) by the Association of Energy Engineers (AEE), Data Science and Machine Learning Certifications by the AWS) is preferred. Excellent communication and writing skills in Arabic and English. French, as a third language, is a solid advantage<br>We offer an attractive package of benefits aligned with our employment policies, including a tax-free salary and supplementary allowances as housing, furniture and air ticket, schooling, and comprehensive medical insurance.<br>Only shortlisted candidates will be contacted.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Job description <p>​</p><br><p>We are looking for a Senior Tech Lead with exceptional depth in AI, data systems, and product innovation.</p><br><p>This is not a traditional software engineering management role. We are seeking a world-class thinker and builder who is passionate about challenging legacy incumbents, leading deep technical exploration, and shipping real products that change the game.<br></p><br><p>You will lead forward-looking R&amp;D efforts, explore and prototype breakthrough ideas, and set the technical direction as this company scales across the MENA region. Working directly with the founders, you’ll have a primary voice in shaping not only <i>what </i>we build, but <i>how </i>we think.</p><br><p><br><b>Discover the Role</b></p><br><ul><li><p>Lead Technical Innovation: Identify whitespace opportunities, challenge legacy solutions, and architect future-ready systems for credit intelligence.</p><br></li><li><p>Prototype &amp; Build: Translate abstract concepts into high-impact prototypes and production-grade systems using AI and real-time data infrastructure.</p><br></li><li><p>Set Technical Direction: Own the architectural roadmap and strategic vision for R&amp;D initiatives with autonomy and clarity.</p><br></li><li><p>Push the Edge: Evaluate and apply emerging techniques in foundation models, causal inference, streaming analytics, and real-time ML.</p><br></li><li><p>Collaborate Across Disciplines: Partner with product, design, data science, and executive leadership to align technical innovation with strategic goals.</p><br></li><li><p>Mentor &amp; Elevate: Raise the bar for engineering and research excellence while building and scaling a high-performing team around you.</p><br></li></ul><p><br><b>Discover the Responsibilities </b></p><br><ul><li><p>You’ve led complex, high-impact engineering or AI projects at companies known for technical excellence (Big Tech, top-tier AI labs, or venture-backed startups).</p><br></li><li><p>You possess a strong grasp of the math, the models, and their practical application to real-world systems.</p><br></li><li><p>You are an active individual contributor who codes daily, prototypes rapidly, and understands systems at scale.</p><br></li><li><p>You combine vision with execution—you don’t just rebuild what’s been done, you imagine what’s possible.</p><br></li><li><p>You’ve worked across the full stack—from data infrastructure and backend systems to deploying ML models in production.</p><br></li><li><p>You thrive in ambiguous environments and operate with a bias toward bold action and continuous iteration.</p><br></li></ul><p><br><b>Discover the Requirements</b></p><br><ul><li><p>8+ years of engineering experience, with a strong track record of leading innovation in AI or data-intensive products.</p><br></li><li><p>Hands-on expertise with Python, distributed data systems (e.g., Spark, Kafka, Snowflake, Databricks), and ML frameworks (e.g., PyTorch, TensorFlow).</p><br></li><li><p>Proven experience architecting, deploying, and scaling production-grade systems.</p><br></li><li><p>Demonstrated ability to think creatively, challenge conventions, and lead R&amp;D from 0 to 1.</p><br></li><li><p>Deep understanding of the current AI research landscape and how to translate cutting-edge research into working software.</p><br></li></ul><br> </div>

Senior Dev Ops Engineer Location: Abu Dhabi, UAEExperience: 8+ years<br>About The Role We are looking for a highly skilled Senior Dev Ops Engineer to help design, build, and operate large-scale, production-grade Azure environments. You will work across the full delivery chain from CI/CD and infrastructure to observability, security, and cost on a modern, Azure-native, microservices-based platform. This is a hands-on engineering role for someone who's comfortable owning production systems end to end, automating everything that can be automated, and raising the bar on security, scalability, and cost efficiency across the team. Curiosity about applying AI/ML to platform engineering, multi-agent assistants, MCP-based integrations, Azure AI Foundry is a real plus.<br>What You'll DoDesign, build, and maintain end-to-end CI/CD pipelines for complex microservices across Dev / Test / Staging / Prod, including build fan-out, parallel lanes, quality gates, and controlled release/promotion strategies. Own and evolve Azure infrastructure AKS, Azure Front Door, Application Gateway, APIM, ACR, Azure Dev Ops, and supporting services with a focus on reliability, security, and scalability. Implement Infrastructure as Code and Git Ops practices as the source of truth for environments and deployments. Embed security into the delivery lifecycle (Dev Sec Ops): SAST, DAST, SCA, container image scanning, secret scanning, and policy-as-code. Drive observability: instrumentation, dashboards, alerting, distributed tracing, and fast diagnosis of production issues. Champion Fin Ops and cost-awareness monitor, allocate, and optimize cloud spend, and partner with engineering and finance stakeholders. Contribute to AI-augmented Dev Ops initiatives MCP server/tool integration and multi-agent assistants on Azure AI Foundry / Azure Open AI. Troubleshoot production incidents, optimize for performance and cost, and continuously improve platform engineering practices.<br>Must-Have Skills Azure Dev Ops Suite Deep hands-on experience with Azure Repos, Azure YAML Pipelines, Azure Artifacts, and Azure Test Plans, plus Azure Dev Ops REST APIs and extensions. CI/CD & Deployment End-to-end pipelines for complex applications across all environments; Git Hub Actions; blue-green and canary deployment strategies. Azure Cloud Services Production-grade experience across the Azure ecosystem, including APIM, Azure Front Door,App gateway and CDN. Containerization & Orchestration Docker, Kubernetes (AKS), Helm, and Git Ops delivery with Argo CD or Flux. Service mesh experience (Istio / Linkerd) a strong plus. Infrastructure as Code Terraform (Azure provider, remote state in Azure Storage, Azure Verified Modules), ARM templates, and Azure Resource Graph. Dev Sec Ops Security integrated into CI/CD, with tools such as Sonar Qube, Hashi Corp Vault, and HP Fortify. Familiarity with SAST, DAST, SCA, container/image scanning, secret scanning, and policy-as-code. Observability & Monitoring Azure Monitor, Application Insights, Log Analytics, Kusto Query Language (KQL), and Azure Workbooks. Experience with Prometheus, Grafana, Dynatrace, or the Elastic/Kibana stack is a plus. Fin Ops & Cost Optimization Hands-on experience implementing Fin Ops practices and tooling to monitor, allocate, and optimize cloud spend. Automation & Scripting Power Shell, Azure CLI, Azure Power Shell module, Python, and Bash. Code Quality & Version Control Git, Git Hub, Azure Repos, branching strategies (Git Flow, trunk-based development), and pull request policies. Architecture & Culture Microservices and serverless architectures on Azure; strong grasp of Agile/Dev Ops culture, the Azure Well-Architected Framework, and the Cloud Adoption Framework. AI / MLOps (advantageous) Exposure to Azure AI Foundry, Azure Machine Learning, Azure Open AI Service, and Azure AI Search — plus MCP server and MCP tool integration experience.<br>Nice to Have Certifications: Microsoft Certified Dev Ops Engineer Expert (AZ-400), Azure Solutions Architect Expert (AZ-305), Azure Administrator Associate (AZ-104), Azure Security Engineer Associate (AZ-500), Fin Ops Certified Practitioner, or Certified Kubernetes Security Specialist (CKS). Experience with Azure Landing Zones and enterprise-scale architectures. A track record of driving cost-awareness culture across engineering teams and partnering with finance stakeholders.<br>Why Join UsYou'll join a strong platform engineering team operating a modern, Azure-native platform at real scale, with genuine ownership, autonomy, and room to shape both the infrastructure and the next generation of AI-augmented Dev Ops tooling. If you like solving hard production problems and building things properly, you will fit right in. Senior Dev Ops Engineer in Abu Dhabi, United Arab Emirates

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Bayut &amp; dubizzle have the unique distinction of being iconic, homegrown brands with a strong presence across the seven emirates in the UAE. Connecting millions of users across the country, we are committed to delivering the best online search experience.</p><br><p>As part of Dubizzle Group, we are alongside some of the strongest classified brands in the market. With a collective strength of 5 brands, we have more than 123 million monthly users that trust in our dedication to providing them with the best platform for their needs.</p><br><p>As a Senior Data Analyst - Strategy, you will work closely with the Strategy team to improve processes, services, products, and software through analysis. You will share a continuous focus on growth with the business leaders and will be co-responsible for building out the dubizzle/Bayut brand.</p><br><p>In this role, you will:</p><br><ul><li>Collaborate closely with the strategy team - translating complex datasets into actionable growth roadmaps for the Executive Committee and C-suite.</li><li>Act as a strategic partner to Senior Leadership, identifying high-value opportunities in growth, pricing elasticity, and operational efficiency.</li><li>Collaborate cross-functionally with the leadership team to align and make sure company-level targets are being met.&nbsp;</li><li>Design executive-level BI dashboards that enable real-time, data-driven decision-making for regional stakeholders.</li><li>Act as main POC between Analytics and Strategy teams, and execute with strong project management skills.</li><li>Lead end-to-end analytics projects from data extraction and modelling to presenting strategic recommendations that directly influence P&amp;L.</li><li>Be able to work autonomously without supervision on complex projects.</li><li>Develop data-driven automation initiatives to optimise business processes and maximise revenue across diverse portfolios.</li><li>Manage complex analytics roadmaps, prioritising competing business requests based on potential commercial impact and feasibility.</li><li>Leverage advanced SQL and Python/R to perform deep-dive analysis on high-volume, multi-source datasets.</li><li>Occasionally do some project management in analytics-heavy projects.</li><li>Facilitate cross-functional collaboration, integrating the analytics function into project kick-offs and top-level strategic discussions.</li><li>Champion data integrity and security, establishing high-standard coding protocols and centralised glossaries to ensure high-quality output.</li><li>Set up processes and SOPs (standard operating procedures).</li><li>Build and maintain a "single source of truth" by unifying data intelligence across fragmented business units and digital platforms.</li><li>Deliver projects within the agreed deadlines or involve other analysts to support to ensure they are met.</li><li>Mentor junior team members, review and validate their output.</li></ul> </div>