Python Developer Jobs in UAE

<strong>Company Overview<br><br></strong>TENEX is an AI-native, automation-first, built-for-scale Managed Detection and Response (MDR) provider. We combine cutting-edge AI with human expertise to deliver security operations that are better, faster, and more cost-effective than traditional approaches.<br><br>We're a fast-growing startup backed by industry experts and top-tier investors led by Crosspoint Capital. Our team is mission-driven, customer-obsessed, and building something that matters — a new standard for how security operations should work.<br><br>Culture is one of the most important things at TENEX.AI — explore our culture deck at culture.tenex.ai to witness how we embody our values every day.<br><br><strong>About The Role<br><br></strong>As a Forward Deployed Implementation Engineer at TENEX, you are the engine that gets customers live. You will execute end-to-end platform deployments, onboard log sources, load TENEX's library of security content, and train customers so they get value from day one. This is a hands-on, customer-facing technical role for engineers who love seeing things work.<br><br><strong>Job Responsibilities<br><br></strong><ul><li>Execute end-to-end platform deployments across Google SecOps and/or Microsoft Sentinel for new customers</li><li>Onboard log sources, configure data connectors, and validate ingestion pipelines</li><li>Load and deploy existing TENEX content into customer environments — including parsers, dashboards, detections, and playbooks developed by the Security Solution Engineers — SIEM/SOAR</li><li>Work from standardized playbooks to deliver MDR coverage within target SLOs</li><li>Troubleshoot connectivity, ingestion, and configuration issues during deployment</li><li>Enable customers through hands-on training — teaching them to navigate, understand, and get value from their deployed platform</li><li>Document deployment configurations and handoff notes for the ongoing support team</li><li>Manage multiple concurrent customer deployments depending on complexity and platform</li><li>Escalate technical blockers to Senior Engineers or Manager when appropriate<br><br></li></ul><strong>Required Skills &amp; Qualifications<br><br></strong><strong>Technical &amp; Industry Expertise<br><br></strong><ul><li>2+ years in cybersecurity, IT operations, cloud engineering, or a related technical field</li><li>Hands-on experience with SIEM platforms, particularly Google SecOps and/or Microsoft Sentinel</li><li>Experience with log source onboarding, data connectors, and ingestion pipeline configuration</li><li>Familiarity with data pipeline technologies such as Bindplane, OpenTelemetry, Cribl, or similar</li><li>Scripting experience in Python, Bash, or similar languages</li><li>Understanding of networking fundamentals and security operations workflows</li><li>Experience with cloud platforms (GCP, Azure, and/or AWS)<br><br></li></ul><strong>Soft Skills<br><br></strong><ul><li>Strong problem-solving and troubleshooting skills with a bias toward action</li><li>Excellent customer-facing communication and collaboration abilities</li><li>Ability to thrive in a fast-paced, high-performance startup environment</li><li>Passion for cybersecurity, automation, and continuous improvement<br><br></li></ul><strong>Education &amp; Certifications<br><br></strong><ul><li>Bachelor's degree in Computer Science, Cybersecurity, Engineering, or a related field (or equivalent practical experience)</li><li>Relevant certifications such as CISSP, CISM, GIAC certifications, Google Cloud Professional, Microsoft SC-200/AZ-500, or AWS Certified Solutions Architect are a plus<br><br></li></ul><strong>Why Join Us?<br><br></strong><ul><li>Opportunity to work with cutting-edge AI-driven cybersecurity technologies and next-generation security platforms</li><li>Collaborate with a talented and innovative team focused on continuously improving security operations</li><li>Competitive salary and benefits package</li><li>A culture of growth and development, with opportunities to expand your expertise in AI, cybersecurity, and engineering</li><li>Be part of building something new — TENEX's Forward Deployed Engineering organization is a greenfield opportunity to define how enterprise security is delivered at scale<br><br></li></ul>

<strong>Overview<br><br></strong>OT Detection is a senior technical and engineering leader role focused on designing and implementing advanced threat detection capabilities within OT environments. Operating within CPX’s hybrid Security Operations Centers (SOCs), this role emphasizes engineering detection logic, integrating OT telemetry, and enhancing visibility across ICS/SCADA systems. The position requires deep expertise in OT cybersecurity, threat hunting, and SOC operations, with a strong understanding of regional industrial sectors and compliance frameworks.<br><br><strong>Responsibilities<br><br></strong><ul><li>Detection Engineering : Design, develop, and fine tune OT specific detection use cases, correlation rules, and analytics within SIEM platforms to enhance threat visibility and reduce false positives.</li><li>SOAR Playbook Engineering: Build, maintain, and optimize SOAR playbooks to automate investigation and response workflows for OT and IT security events.</li><li> Alert Development &amp; SOC Enablement: Create, refine, and document SOC alert logic to ensure high fidelity detection and smooth operational handover to analysts.</li><li>Tool Integration: Deploy, configure, and optimize OT security platforms such as Dragos, Claroty, and Nozomi to improve monitoring coverage and asset visibility.<br><br></li></ul>Telemetry Onboarding: Integrate OT data sources—including PLC logs, historian data, network telemetry, and asset inventories—into SIEM/SOAR and broader SOC workflows.<br><br><ul><li> SOC Collaboration: Partner closely with SOC analysts and IT/OT teams to validate detections, enhance triage processes, and ensure seamless integration of OT monitoring capabilities.</li><li> Compliance Alignment: Ensure all detection and response strategies align with relevant regulatory and industry frameworks, including NESA, SAMA, NIST 800 82, and IEC 62443.</li><li> Incident Support: Lead or support technical investigations involving OT assets, providing deep expertise during incident response activities and post incident reviews.<br><br></li></ul><strong>Skills/Certifications (Technical &amp; Non-Technical : -<br><br></strong><ul><li> Advanced OT Detection Engineering: Proven ability to design and implement high-fidelity detection logic tailored to OT environments, including ICS/SCADA systems and industrial protocols.</li><li> Deep Protocol Expertise: Strong hands-on experience with OT/ICS protocols such as Modbus, DNP3, OPC, IEC 61850, and their behavioral patterns in threat scenarios.</li><li> SIEM Use Case Development: Extensive experience building and tuning OT-specific use cases and correlation rules in SIEM platforms (e.g., QRadar, Splunk), with a focus on minimizing false positives and enhancing alert fidelity.</li><li> Telemetry Integration: Skilled in onboarding OT telemetry sources (e.g., PLC logs, historian data, network traffic) into SOC workflows for enhanced visibility and detection.</li><li> Scripting &amp; Automation: Proficient in Python and PowerShell for automating detection workflows, parsing OT logs, and building custom alerting mechanisms.</li><li> Cross-Domain Collaboration: Strong communication and collaboration skills to work effectively with SOC analysts, OT engineers, and incident response teams.</li><li> Operational Awareness: Deep understanding of SOC operations, OT threat landscapes, and the unique challenges of securing industrial environments in the Middle East.<br><br></li></ul><strong>Certifications : -<br><br></strong><ul><li> Cybersecurity: CISSP, CISM, or equivalent.</li><li> OT-Specific: GICSP, GRID, ISA/IEC 62443 Cybersecurity Certificate, Dragos, Nozomi.</li><li> Networking: CCNP/CCIE.</li><li> Additional certifications related to SOAR or SIEM solutions would be considered an advantage<br><br></li></ul><strong>Qualifications<br><br></strong><strong>Minimum Work Experience : -<br><br></strong><ul><li> Minimum of 8–10 years in SOC operations, with significant experience in OT cybersecurity.</li><li> Prior experience in a lead engineering role within a SOC or industrial cybersecurity environment.<br><br></li></ul><strong>Education :</strong> -<br><br><ul><li> Bachelor’s degree in computer science, Information Technology, Cybersecurity, or related field.</li><li> Master’s degree or equivalent recognized cybersecurity certifications preferred</li></ul>

<strong>About Xenonstack<br><br></strong>XenonStack is the fastest-growing data and AI foundry for agentic systems, enabling people and organizations to gain real-time and intelligent business insights.<br><br><ul><li>Agentic Systems for AI Agents: akira.ai</li><li>Vision AI Platform: xenonstack.ai</li><li>Inference AI Infrastructure for Agentic Systems: nexastack.ai<br><br></li></ul><strong>THE OPPORTUNITY<br><br></strong>We are seeking a <strong>Solution Architect – Agentic Systems</strong> to design and deliver <strong>end-to-end AI agent solutions</strong> tailored to enterprise customer needs.<br><br>This role blends <strong>technical architecture, solution design, and customer collaboration</strong> — ensuring deployments of multi-agent systems, RAG pipelines, and AI orchestration frameworks are secure, scalable, and business-aligned.<br><br>If you thrive on bridging <strong>business objectives</strong> with <strong>deep technical design</strong>, and you want to define the blueprint for enterprise AI adoption, this role is for you.<br><br><strong>Responsibilities<br><br></strong><ul><li>Solution Design &amp; Architecture</li><ul><li>Translate customer requirements into scalable, compliant AI agent architectures.</li><li>Design workflows using multi-agent orchestration, A2A messaging, and tool chaining.</li><li>Define context and memory strategies for long-running AI processes.</li></ul><li>Integration Leadership</li><ul><li>Architect API, RAG, and data pipeline integrations with enterprise systems (ERP, CRM, SOC tools).</li><li>Ensure interoperability between AI agents, vector DBs, and knowledge graphs.</li></ul><li>Performance &amp; Scalability</li><ul><li>Optimize latency, token usage, and model selection for cost-effective deployments.</li><li>Design for high availability and fault tolerance in production.</li></ul><li>Security &amp; Compliance</li><ul><li>Embed governance, auditability, and data privacy controls in all solutions.</li><li>Ensure adherence to industry regulations (GDPR, PCI-DSS, HIPAA as applicable).</li></ul><li>Customer Engagement</li><ul><li>Act as a trusted advisor for client technical teams.</li><li>Conduct workshops, POCs, and design reviews to validate architectural choices.</li></ul><li>Collaboration &amp; Delivery Support</li><ul><li>Work closely with Forward Deployed Engineers, AI Interaction Engineers, and Agent Architects to ensure smooth delivery.</li><li>Provide architectural oversight during implementation phases.<br></li></ul></ul><strong>Must-Have<br><br></strong><strong>SKILLS &amp; QUALIFICATIONS<br><br></strong><ul><li>8+ years in solution architecture, enterprise software, or AI/ML engineering.</li><li>Strong understanding of LLM architectures, embeddings, and agent orchestration frameworks (LangChain, LangGraph, AgentBridge).</li><li>Proven experience designing RAG pipelines, hybrid retrieval systems, and knowledge graph integrations.</li><li>Proficiency in Python and experience with API design/integration.</li><li>Cloud-native architecture skills (AWS, GCP, Azure, Kubernetes).</li><li>Strong communication skills for both technical and executive audiences.<br><br></li></ul><strong>Good-to-Have<br><br></strong><ul><li>Experience in BFSI, GRC, SOC, or FinOps.</li><li>Familiarity with AI observability tools (Prometheus, OpenTelemetry, TruLens, Ragas).</li><li>Exposure to reinforcement learning (RLHF, RLAIF) for agent optimization.</li><li>Background in AI governance frameworks and Responsible AI practices.<br><br></li></ul><strong>Career Growth &amp; Benefits<br><br></strong><strong>Continuous Learning &amp; Growth<br><br></strong><ul><li>Certifications in AI architecture, orchestration frameworks, and enterprise integration.</li><li>Opportunities to lead strategic, cross-industry AI transformation projects.<br><br></li></ul><strong>Recognition &amp; Rewards<br><br></strong><ul><li>Incentives for high-impact solution design and customer success.</li><li>Path to Principal Architect or Enterprise AI Architect roles.<br><br></li></ul><strong>Work Benefits &amp; Well-Being<br><br></strong><ul><li>Comprehensive medical insurance and project-based allowances.</li><li>Cab facilities for women employees and special project perks.<br><br></li></ul><strong>XENONSTACK CULTURE – JOIN US &amp; MAKE AN IMPACT!<br><br></strong>We foster a culture of cultivation with bold, human-centric leadership principles. We value <strong>deep work</strong>, <strong>experimentation</strong>, and <strong>ownership</strong> in every initiative, and we are on a mission to reshape how enterprises adopt AI + Human Intelligence systems.<br><br><strong>Product Values<br><br></strong><ul><li>Obsessed with Adoption – Making AI accessible and enterprise-ready.</li><li>Obsessed with Simplicity – Turning complexity into seamless, intuitive AI experiences.<br><br></li></ul>Be a part of our vision to accelerate the world’s transition to <strong>AI + Human Intelligence</strong>.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><span>As a Cyber Security Architect/Engineer I, you will work with the Honeywell Cybersecurity Center of Excellence (CoE) team to support cybersecurity solution development, product testing, lab validation, technical documentation, and cybersecurity engineering activities. This role is designed for early-career cybersecurity professionals who are interested in developing expertise in industrial cybersecurity technologies and Honeywell cybersecurity solutions.</span></p><br><br>Honeywell Technologies is a global, pure-play automation company with a legacy of innovating to help solve the world’s most mission-critical challenges, enhancing the quality of life for people and communities around the world. We serve the building, industrial and process sectors with a broad portfolio of services, solutions and products, underpinned by our Honeywell Technologies Accelerator operating system and Honeywell Technologies Forge intelligence layer. By combining the deep domain expertise of our more than 50,000 employees with decades of data from our global installed base, we are uniquely positioned to lead the industrial sector’s transition from automation to autonomy.<br>Responsibilities:<br><p>· Support testing, validation, and troubleshooting activities for Honeywell cybersecurity products and solutions.</p><br><p>· Assist in maintaining and operating the Cyber COE cybersecurity lab environment.</p><br><p>· Participate in proof-of-concept (POC), product demonstration, and solution validation activities.</p><br><p>· Assist with cybersecurity assessments, system reviews, and risk evaluation activities.</p><br><p>· Support technical documentation, test reports, procedures, and knowledge articles.</p><br><p>· Perform basic cybersecurity analysis and identify potential security risks and vulnerabilities.</p><br><p>· Participate in the evaluation of new cybersecurity tools, technologies, and product features.</p><br><p>· Collaborate with engineering, development, and project teams on assigned activities.</p><br><p>· Assist in the development and testing of cybersecurity-related scripts and automation tools.</p><br><p>· Continuously expand knowledge of Honeywell cybersecurity products and industrial cybersecurity technologies.</p><br><p>· Support internal training, workshops, and technology demonstrations as required.</p><br><br>Qualifications:<br><p><b>Basic Qualifications:</b></p><br><p>· Bachelor’s degree in cyber security, Computer Science, Information Technology, Information Systems, Computer Engineering, or related discipline</p><br><p>· 1-2 years of experience in cybersecurity, networking, IT infrastructure, systems administration, or related technical fields</p><br><p>· Fresh graduates with strong cybersecurity knowledge and hands-on project experience may also be considered</p><br><p><b>Preferred Skills:</b></p><br><p>• Basic understanding of cybersecurity concepts and best practices.</p><br><p>• Familiarity with networking fundamentals (TCP/IP, VLANs, routing, switching).</p><br><p>• Basic knowledge of Windows and Linux operating systems.</p><br><p>• Exposure to security tools, vulnerability management, or system hardening concepts.</p><br><p>• Familiarity with scripting or programming languages such as Python or PowerShell.</p><br><p>• Strong analytical, troubleshooting, and problem-solving skills.</p><br><p>• Ability to learn new technologies quickly and work in a collaborative environment.</p><br><p>• Strong verbal and written communication skills.</p><br><p>• Good documentation and organizational skills.</p><br><p>• Demonstrated initiative, curiosity, and willingness to take ownership of assigned tasks</p><br><p><span><i><b>We are an equal opportunity employer and value diversity at our company. We do&nbsp;not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.</b></i></span></p><br><p><span><i><b>We will ensure that individuals with disabilities are provided reasonable accommodation to&nbsp;participate in the job application or interview process, to&nbsp;perform crucial job functions, and to&nbsp;receive other benefits and privileges of employment. Please contact us to&nbsp;request accommodation.</b></i></span></p><br> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Nationality"> <b>Nationality</b> </div> <div class="col is-9 p5" data-automation-id="data_Nationality"> United Arab Emirates </div> </div>

Fuse Energy is an energy startup on a mission to make energy abundant and affordable, fast. We combine first-principles thinking with cutting-edge technology to build a radically better energy system.<br><br>We've raised over $200M from top-tier investors including Balderton, Lakestar, Accel, Creandum, Lowercarbon, Ribbit, 20VC, Hummingbird and Collaborative Fund, alongside strategic angels including Nico Rosberg and GPs behind Meta, Revolut, Spotify and Uber.<br><br>We're building a fully integrated energy company: developing our own solar, batteries and other generation projects, building our own hardware, improving and developing grid infrastructure, trading power in real time, using AI across the business, and installing distributed energy in homes. By selling directly to consumers we cut out the middleman, lower costs and pass the savings on to our customers.<br><br>We're building a cutting-edge AI team. As an Applied AI Engineer, this role suits someone with the technical depth of a backend engineer who is specifically interested in applied AI and how it can improve the energy experience for our customers and our internal operations. You'll work on consumer features such as the Energy Co-Pilot and speedy onboarding (using VLM and LLM tools) and build AI tools that make teams across Fuse more productive.<br><br><strong>Responsibilities<br><br></strong><ul><li>Design, develop and deploy AI-powered features that directly impact consumer experiences, including personalised energy recommendations and seamless onboarding via AI models (e.g. using energy bills for quick setup)</li><li>Build and optimise internal AI tools that make the whole company more productive, with a focus on automation and enhancing workflows</li><li>Collaborate with backend engineers and data scientists to integrate AI-driven features into our platforms</li><li>Collaborate with the trading and operations teams to ensure AI models are aligned with real-time market conditions and energy pricing</li><li>Improve AI models to optimise trading strategies by anticipating market shifts based on weather and demand forecasts</li><li>Stay up to date with the latest advancements in applied AI and machine learning and apply them to real-world problems in the energy space</li><li>Monitor the performance of AI tools and models, ensuring they run efficiently and effectively<br><br></li></ul><strong>Requirements<br><br></strong><ul><li>Minimum 3 years of engineering experience</li><li>Proven experience as a backend engineer with a strong interest and practical experience in applied AI or machine learning</li><li>Strong programming skills in Python (or similar) with familiarity in AI/ML libraries (TensorFlow, PyTorch, etc.)</li><li>Experience working with large-scale models (LLMs/VLMs) and deploying AI-driven solutions into production</li><li>Solid understanding of cloud technologies, containerisation and building scalable AI applications</li><li>Ability to integrate AI/ML models into real-world applications, focusing on usability and performance</li><li>Strong problem-solving skills and a practical approach to implementing AI solutions in a fast-paced environment</li><li>Experience working with large datasets, particularly in relation to demand and supply forecasting</li><li>Bonus: experience or strong interest in energy markets and trading strategies; understanding of weather forecasting, energy demand patterns and production modelling; exposure to NLP or related fields<br><br></li></ul><strong>Benefits<br><br></strong><ul><li>Competitive salary and eligibility for equity</li><li>Biannual bonus scheme</li><li>Fully expensed tech to match your needs</li><li>Private health insurance</li><li>Breakfast and dinner allowance for office-based employees<br><br></li></ul>As we hire globally, benefits may vary by location.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><strong>Job Description:</strong></p><br><p>The Industry 4.0 District is a major initiative by UAE University, aligning with its goal to become the “University of the Future”. This District Hub is an advanced industrial innovation and prototyping centre, designed to bridge the gap between research, education, and industry. Equipped with state-of-the-art manufacturing technologies, including CNC machining, additive manufacturing, automation systems, robotics and drones. The hub serves as a collaborative space for engineers, students, and industry professionals. Our mission is to drive cutting-edge research, product development, and technical training to empower the next generation of innovators and enhance industrial capabilities. The successful candidate for the Electronics/Mechatronics Engineer position will collaborate closely with the District’s management and coordinators. We are looking for a versatile and motivated Electronics/Mechatronics Engineer to provide hands-on support across multiple engineering projects within the District Hub and help with the daily operations. The ideal candidate will should have a good background in electronics, basic mechanical principles, with the ability to assist in design, prototyping, troubleshooting, and testing of various industrial and R&amp;D projects related to electronics, IoT, Robotics, additive manufacturing and metal fabrication. This role is an excellent opportunity for an early-career engineer to gain hands-on experience in cutting-edge fabrication technologies, additive manufacturing, automation, and industrial electronics. The candidate will work closely with senior engineers, technicians, and students while developing skills in multidisciplinary problem-solving, project execution, and technical training. Responsibilities Responsibilities include, but are not limited to: 1. Project Support &amp; Technical Assistance • Assist in the design, assembly, and troubleshooting of electronic circuits, mechatronic systems, and automation projects. • Support PCB design, soldering, microcontroller programming, and embedded system development. • Help in CNC machining, laser cutting, 3D printing, and prototyping for various projects. • Work with sensors, actuators, robotic systems, and industrial automation tools. • Assist in assembling and maintaining industrial machinery within the hub. 2. Research &amp; Development Support • Conduct literature reviews and feasibility studies for new R&amp;D projects. • Assist in designing, testing, and optimizing prototypes. • Help in integrating IoT, AI, and automation technologies into industrial applications. • Contribute to documentation, technical reports, and presentations for projects. 3. Training &amp; Student Mentorship • Assist in educational workshops and training sessions for students and interns. • Help in preparing training materials, tutorials, and lab demonstrations. • Provide technical support for university students working on capstone projects and research activities. 4. Maintenance &amp; Lab Organization • Maintain and troubleshoot lab equipment, 3D printers, CNC machines, and electronics workstations. • Ensure proper organization and inventory management of tools, components, and consumables. </p><br><p><strong>Minimum Qualifications:</strong></p><br><p>• Bachelor’s degree in Electronics Engineering, Mechatronics Engineering, or a related field. • 3+ years of experience in an engineering, prototyping, or R&amp;D environment. • Hands-on experience in circuit design, microcontrollers (Arduino, ESP32, STM32), and programming (C, Python). • Basic knowledge of mechanical and manufacturing processes, including CAD (SolidWorks, Fusion 360), 3D printing, and CNC machining. • Basic understanding of robotics, automation, and control systems. </p><br><p><strong>Preferred Qualifications:</strong></p><br><p>• Previous experience in student projects, internships, or university research labs is highly desirable. </p><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>•&nbsp;&nbsp;&nbsp;&nbsp;Conduct research and technical studies on dredging equipment performance, soil interaction, and production methodologies.<br>•&nbsp;&nbsp;&nbsp;&nbsp;Drive technical advancements in dredging processes and equipment, focusing on improving efficiency, performance, and overall operational effectiveness<br>•&nbsp;&nbsp;&nbsp;&nbsp;Design and maintain digital tools to support production estimation, monitoring, and reporting (e.g., spreadsheets, scripts, dashboards).<br>•&nbsp;&nbsp;&nbsp;&nbsp;Support the integration of real-time dredger data and production logs into centralized systems.<br>•&nbsp;&nbsp;&nbsp;&nbsp;Assist in automating calculations, data processing, and report generation workflows.<br>•&nbsp;&nbsp;&nbsp;&nbsp;Design and implement rigorous testing protocols to evaluate the performance, reliability, and safety of dredging products and processes<br>•&nbsp;&nbsp;&nbsp;&nbsp;Assist the Dredging Development Manager in aligning development efforts with department priorities.<br>•&nbsp;&nbsp;&nbsp;&nbsp;Conduct experiments and analyze results to drive continuous improvements and support innovative solutions<br>•&nbsp;&nbsp;&nbsp;&nbsp;Develop and utilize digital twin models to simulate, optimize, and predict dredging operations, enhancing operational strategies and identifying potential issues<br>•&nbsp;&nbsp;&nbsp;&nbsp;Identify and implement opportunities to optimize dredging processes and equipment, aiming to enhance operational efficiency and reduce costs.<br>•&nbsp;&nbsp;&nbsp;&nbsp;Utilize data analysis and stakeholder feedback to drive process improvements and technological advancements<br>•&nbsp;&nbsp;&nbsp;&nbsp;Work closely with key stakeholders, including the estimation division and operations department, to ensure technical developments align with operational needs and objectives<br>•&nbsp;&nbsp;&nbsp;&nbsp;Facilitate cross-departmental communication to ensure cohesive and successful project execution<br>•&nbsp;&nbsp;&nbsp;&nbsp;Explore and identify key research areas and opportunities for innovation within dredging technology.<br>•&nbsp;&nbsp;&nbsp;&nbsp;Stay abreast of industry trends, advancements, and emerging technologies to drive continuous improvement and maintain competitive advantage<br>•&nbsp;&nbsp;&nbsp;&nbsp;Prepare comprehensive technical documentation and reports on project outcomes, ensuring clarity and precision<br>•&nbsp;&nbsp;&nbsp;&nbsp;Ensure all activities and projects comply with Health, Safety, and Environmental (HSE) standards, quality objectives, and company procedures.<br>•&nbsp;&nbsp;&nbsp;&nbsp;Maintain up-to-date knowledge of regulatory changes and industry best practices to ensure adherence and promote excellence</p><br><br>Qualifications:<br><ul><li>Master of Science in Dredging Engineering, Mechanical Engineering, Civil Engineering, Maritime Engineering, or other relevant disciplines</li><li>&nbsp;OR Bachelor's Degree in Engineering in a related discipline, or equivalent</li><li>Minimum 05 years of relevant experience in (marine) construction and /or dredging is an advantage OR Minimum 08 years of relevant experience in (marine) construction and /or dredging is an advantage</li><li>Knowledge of dredging technologies, equipment, and methodologies.</li><li>Knowledge of emerging technologies and trends relevant to the dredging industry.</li><li>Good communication skills</li><li>Excellent analytical and problem-solving abilities</li><li>Results orientated with ability to plan and deliver against project deadlines</li><li>Ability to work as part of a team</li><li>Eager to learn and use new tools and software</li></ul><p>Required IT Skills:</p><br><p>•&nbsp;&nbsp;&nbsp;&nbsp;MS Office<br>•&nbsp;&nbsp;&nbsp;&nbsp;Matlab<br>•&nbsp;&nbsp;&nbsp;&nbsp;Python<br>•&nbsp;&nbsp;&nbsp;&nbsp;Git or other co-developing tools<br>•&nbsp;&nbsp;&nbsp;&nbsp;MS SQL database<br>•&nbsp;&nbsp;&nbsp;&nbsp;CFD, FEM, or soil mechanic software</p><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Company Description<br><p>instashop, headquartered in Dubai, is the leading online local marketplace in the UAE and Egypt . Since joining the Delivery Hero family in 2020, the global leader in online food delivery and q-commerce, instashop has been setting the standard for excellence and convenience in the region.</p><br><p>With a dynamic and motivated team fueled by passion and innovation, every day at instashop is an opportunity for growth and success. We champion inclusivity, diversity and collaboration, creating an environment where everyone’s achievements are celebrated and where success is the only way forward. As we continue to grow, our team keeps expanding across the UAE, Egypt and Greece, and we’re always on the lookout for new talents to join us on our success journey.</p><br><br>Job Description<br><p>Strong hands-on SQL skills are essential, along with experience analysing business and marketing performance and an interest in using AI to make analytics faster, more scalable, and more impactful.</p><br><ul><li>Analyse business performance across <strong>growth, customer behaviour, revenue, profitability, marketing, and operations</strong>.</li><li>Independently write and optimise <strong>SQL queries</strong> to extract and analyse large datasets.</li><li>Conduct deep dives to identify <strong>trends, performance gaps, growth opportunities, and key business drivers</strong>.</li><li>Analyse customer behaviour across <strong>acquisition, activation, retention, churn, frequency, cohorts, segmentation, and customer value</strong>.</li><li>Analyse <strong>marketing and campaign performance</strong> across relevant channels, connecting marketing activity to customer acquisition, engagement, conversion, retention, and revenue.</li><li>Evaluate <strong>marketing efficiency metrics</strong> such as CAC/CARC, ROAS, conversion, campaign uplift, and customer quality, and recommend opportunities to improve targeting and budget allocation.</li><li>Support <strong>customer segmentation and targeting strategies</strong> using behavioural, lifecycle, frequency, and value-based cohorts.</li><li>Conduct <strong>pre/post, cohort, benchmark, and incrementality-style analyses</strong> to evaluate campaigns, promotions, and business initiatives.</li><li>Support <strong>business cases, forecasting, scenario modelling, and impact estimation</strong> for new initiatives.</li><li>Build dashboards and recurring reports using BI and visualisation tools, with clear visibility across <strong>business and marketing KPIs</strong>.</li><li>Partner with <strong>Marketing, Product, Commercial, Operations, and other cross-functional teams</strong> to define KPIs and provide clear, commercially relevant recommendations.</li><li>Translate complex analysis into <strong>clear insights and actions for business stakeholders</strong>.</li><li>Ensure accuracy, consistency, and reliability of analytical outputs and underlying measurement logic.</li></ul><p>AI in Analytics</p><br><p>The candidate should actively use <strong>AI as part of the analytics workflow</strong>, including:</p><br><ul><li>Accelerating <strong>SQL development, debugging, and analysis</strong>.</li><li>Structuring analytical approaches and generating hypotheses.</li><li>Automating repetitive reporting and analytical tasks.</li><li>Supporting faster <strong>campaign, customer, and marketing performance analysis</strong>.</li><li>Improving insight generation, documentation, and stakeholder communication.</li><li>Building <strong>reusable analytical workflows or AI-assisted processes</strong> that improve team productivity and scalability.</li></ul><br>Qualifications<br><ul><li>3-5 years of experience in Business Analytics, Data Analytics, Strategy Analytics, Growth Analytics, or a related field.</li><li>Strong hands-on SQL skills.</li><li>Strong Excel / Google Sheets skills.</li><li>Experience with BI tools such as Tableau, Power BI, Looker, Metabase, or similar.</li><li>Strong analytical, problem-solving, and structured thinking skills.</li><li>Ability to translate data into clear business recommendations.</li><li>Comfortable working with multiple stakeholders in a fast-paced environment.</li><li>Practical exposure to generative AI tools in analytical workflows.</li></ul><p>Nice to Have</p><br><ul><li>Experience in e-commerce, marketplaces, quick commerce, retail, fintech, or consumer technology.</li><li>Exposure to Python.</li><li>Understanding of A/B testing and experimentation.</li><li>Experience with customer lifecycle, marketing, pricing, retention, churn, or unit economics.</li></ul><br><br> </div>

<ul><li><p>Specialist in designing and implementing Test Automation Frameworks using Selenium, Java, BDD Cucumber, enabling scalable automation for Web, Mobile, API, and Enterprise applications.</p><p>·&nbsp;Extensive experience in UiPath Test Suite and RPA, including:</p><ul><li><p>Setting up and managing UiPath Orchestrator environments.</p></li><li><p>Configuring and administering Unattended Robots for automated test execution and business process automation.</p></li><li><p>Scheduling and orchestrating automated test executions using UiPath Orchestrator.</p></li><li><p>Developing reusable automation workflows and test automation assets.</p></li><li><p>Integrating UiPath automation with enterprise DevOps pipelines for continuous testing.</p></li></ul><p>·&nbsp;Strong expertise in GitLab CI/CD, including repository management, pipeline design, deployment automation, and integration of automated testing tools into CI/CD workflows.</p><p>·&nbsp;Hands-on experience integrating UiPath Test Automation, Selenium, and API tests with GitLab pipelines, enabling automated execution, reporting, and quality gates as part of continuous delivery processes.</p><p>·&nbsp;Comprehensive experience in creating and maintaining GitLab repositories, developing end-to-end pipeline architectures, implementing CI/CD practices, and deploying applications to Kubernetes platforms using Helm charts and on-premises environments.</p><p>·&nbsp;Expertise in implementing Continuous Testing strategies by integrating automated testing tools with DevSecOps pipelines to improve release quality and deployment velocity.</p><p>·&nbsp;Strong hands-on experience in Web, Mobile, API, Desktop Application Development, utilizing Java, VB, Selenium, UFT, and related technologies.</p><p>·&nbsp;Expertise in cloud-based testing platforms such as BrowserStack for cross-browser and mobile testing.</p><p>·&nbsp;Strong experience in Service Virtualization using IBM Rational Integration Tester (RIT), enabling efficient testing of dependent systems.</p><p>·&nbsp;Certified in AWS Cloud Practitioner, HashiCorp Terraform, and IBM RFT.</p><p>·&nbsp;Experience managing distributed teams and coordinating activities across Onshore, Offshore, and Multi-Vendor delivery models.</p><p>·&nbsp;In-depth domain expertise in Corporate Banking, Operations, Payments, and Financial Services platforms.</p><p>·&nbsp;Proven ability to lead and deliver critical enterprise initiatives under demanding conditions, including Bank Mergers, Disaster Recovery Exercises, Regulatory Changes, and Large-Scale Transformation Programs.</p><p>·&nbsp;Strong leadership experience in managing large automation teams, driving automation adoption, mentoring team members, and delivering complex enterprise-wide programs.</p><p>·&nbsp;Expert in identifying, designing, and implementing QA Governance Frameworks, Test Automation Strategies, DevOps Practices, and Quality Engineering Processes.</p><p>·&nbsp;Skilled in risk assessment, impact analysis, and execution of mitigation strategies to ensure successful project delivery.</p><p>·&nbsp;Experience in establishing enterprise-wide testing standards, automation governance models, and continuous improvement initiatives.</p><p>·&nbsp;Strong understanding of PCI DSS compliance requirements, ensuring data handling and testing practices remain compliant with regulatory standards.</p><p>·&nbsp;Excellent communication and stakeholder management skills, with the ability to effectively present technical and business solutions to senior leadership, business stakeholders, and technology teams.</p><p>·&nbsp;Demonstrated ability to manage multiple strategic initiatives simultaneously while maintaining quality, delivery timelines, and operational excellence.</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>Bachelor's or Master's degree in Computer Science, Engineering, or a related field.</p></li><li><p>Minimum of 7+ years of experience in software quality assurance, with at least 3 years in a lead or senior automation role.</p></li><li><p>Proven expertise in developing and maintaining test automation frameworks using languages like Java, Python, or JavaScript.</p></li><li><p>Hands-on experience with popular automation tools such as Selenium WebDriver, Cypress, Playwright, or Appium.</p></li></ul><br><p>Skills Selenium Java BDD Cucumber</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Job Summary: <br> <p>We are building one of the region’s most ambitious e-commerce platforms a high-traffic, multi-region platform engineered for scale, reliability, and exceptional customer experiences. As a Senior Software Development Engineer 3 , you will own critical backend systems that power millions of customer journeys every day, from order placement to successful delivery. This role goes beyond writing code. You will define how systems are designed, drive technical strategy, influence engineering standards, and lead multi-quarter, multi-team initiatives that create lasting business impact.</p><br><br> Key Responsibilities: <br> <ul> <li><ul><li>Build and scale the Delivery Promise Service to deliver accurate, real-time delivery commitments.</li><li>Design and maintain WMS backend services supporting inventory management, pick-pack-ship workflows, and warehouse operations.</li><li>Develop TMS capabilities for carrier selection, route optimization, shipment tracking, and delivery status updates.</li><li>Architect event-driven workflows using Kafka to coordinate systems across warehouse, transport, and customer-facing platforms.</li><li>Build integrations with logistics providers, carrier APIs, and delivery partners.</li><li>Engineer highly resilient, fault-tolerant systems capable of handling peak demand during major sales events.</li><li>Establish strong observability practices through metrics, dashboards, structured logging, tracing, and proactive SLA monitoring.</li><li>Own and deliver multi-quarter, multi-team technical initiatives with measurable business impact.</li><li>Make independent architectural decisions while balancing customer needs, technical complexity, and business priorities.</li><li>Drive collaboration across teams and influence engineering practices beyond your immediate area.</li><li>Act as a technical leader who raises engineering standards across the organization.</li><li>Design and evolve scalable systems aligned with long-term business objectives.</li><li>Solve complex engineering challenges involving scalability, reliability, performance, and maintainability.</li><li>Simplify codebases and infrastructure while reducing technical debt and operational complexity.</li><li>Identify technical risks early and proactively resolve cross-team dependencies.</li><li>Debug complex production issues, including non-deterministic failures and distributed system challenges.</li><li>Champion an AI-first engineering culture by adopting AI tools and practices that improve productivity and engineering outcomes.</li><li>Define technical roadmaps and guide teams through complex engineering initiatives.</li><li>Lead design discussions, architecture reviews, and engineering best practices.</li><li>Set quality standards through thoughtful code reviews and technical mentorship.</li><li>Foster a culture of collaboration, psychological safety, and continuous improvement.</li><li>Coach engineers through actionable feedback and career development support.</li></ul></li> </ul> <br> Requirements: <br> <ul> <li><ul><li>7+ years’ experience leading architecture reviews and creating Architectural Decision Records (ADRs).</li><li>Strong proficiency in at least one backend programming language: Python, Java, or Node.js, with deep understanding of performance characteristics and internals.</li><li>Proven experience designing, building, and operating large-scale microservices architectures.</li><li>Strong cloud experience with <strong>GCP, AWS, or Azure</strong>, including architecture decisions, cost optimization, and multi-region deployments.</li><li>Expert knowledge of <strong>Docker and Kubernetes</strong> in production environments.</li><li>Experience designing CI/CD pipelines, deployment strategies, and automated quality controls.</li><li>Advanced database expertise including query optimization, replication, sharding, and high-throughput data modeling.</li><li>Strong experience with event-driven architectures and messaging platforms such as Kafka, SQS/SNS, Pub/Sub, or RabbitMQ.</li><li>Deep understanding of caching strategies using Redis, Memcached, and CDN technologies.</li><li>Strong knowledge of API security, OAuth 2.0, JWT, API gateways, and WAF configurations.</li><li>Experience working in high-scale domains such as e-commerce, retail, logistics, supply chain, or consumer technology platforms.</li></ul></li> </ul> <br> <br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Company Description<br><p>At IFS you will work in a growing, global enterprise software company built upon committed and empowered colleagues who come to work knowing they are making a difference. We work every day within our single platform and embedded digital innovation to help our customers be their best when it really matters to <em>their</em> customers – at the Moment of Service™. We take pride in ensuring that our employees are able to achieve the company goals as well as develop their career. We believe empowered autonomy, committed colleagues and being part of a winning team are the keys to our success and what makes us great!</p><br><p>We celebrate that IFS employees have diverse skills, experiences, and backgrounds. We believe that everyone should be able to bring their whole selves to work and be valued for it. It creates a culture that allows us to develop and expand our thinking. It enables us to achieve better results. By embracing and celebrating our differences, we are more representative of the customers, partners and communities we serve. &nbsp;</p><br><br>Job Description<br><ul><li>Analyse complex Finance, commercial and operational datasets to identify trends, risks, opportunities and performance drivers.</li><li>Partner with Finance, FP&amp;A, Operations and executive stakeholders to understand business questions and translate them into analytical outputs.</li><li>Design, develop and maintain Power BI dashboards, reports and data experiences with strong usability and consistent metric definitions.</li><li>Support strategic Finance BI initiatives including ARR by Product, Personnel Planning, Finance Dashboard, planning cycles and executive reporting packs.</li><li>Build business requirements, data definitions, KPI documentation and user stories for engineering and analytics delivery.</li><li>Validate data accuracy, investigate variances and work with engineers or business owners to resolve data quality issues.</li><li>Prepare clear insight summaries, commentary and recommendations for senior stakeholders.</li><li>Drive adoption of self-service analytics by supporting users, improving report usability and promoting consistent data interpretation.</li><li>Use AI-enabled analytics and Copilot-style workflows where appropriate to accelerate analysis, documentation and insight generation.</li><li>Contribute to Finance BI standards for documentation, dashboard design, governance and reporting excellence.</li></ul><br>Qualifications<br><ul><li>Strong experience in data analysis, business intelligence, Finance analytics or performance reporting.</li><li>Advanced Power BI skills, including report design, dashboard development and data model understanding.</li><li>Strong SQL skills and ability to interrogate, join and validate complex datasets.</li><li>Ability to translate business requirements into analytical solutions and communicate technical topics in simple business language.</li><li>Strong stakeholder management, documentation and presentation skills.</li><li>Good understanding of KPI design, data quality, variance analysis and reporting governance.</li><li>Ability to work independently in a fast-moving environment with multiple priorities.</li></ul><p>PREFERRED SKILLS</p><br><ul><li>Finance, FP&amp;A, SaaS metrics, ARR, ERP, planning or management reporting experience.</li><li>Experience with Microsoft Fabric, Databricks, semantic models, Power Query, DAX, Python or other analytical tools.</li><li>Strong data storytelling and executive presentation capability.</li><li>Experience improving dashboard UI/UX and increasing analytics adoption.</li><li>Exposure to AI-assisted analytics, Microsoft Copilot, Analyst Agents or data agents.</li></ul><br>Additional Information<br><ul><li>Bachelor degree in Finance, Business Analytics, Data Analytics, Information Systems or equivalent practical experience.</li><li>4+ years of relevant experience in BI, data analytics, Finance analytics or business analysis.</li></ul><br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><b>Career Area:</b></p><br><br>Technology, Digital and Data<br><p><b>Job Description:</b></p><br><br><p><b><span>Your Work Shapes the World at Caterpillar Inc. </span></b></p><br><br><br><p>When you join Caterpillar, you're&nbsp;joining a global team who cares not just about the work we do – but also about each other.&nbsp; We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't&nbsp;just talk about progress and innovation here – we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.</p><br><br><br><p><b>Who We Are</b></p><br><br><p>EAME Distribution’s mission is to deliver superior customer experience, profitable market leadership and services growth through industry-best distribution performance. We provide governance and administration of Cat® dealers across Europe, Africa, the Middle East, and Eurasia.</p><br><br><br><p>We’re looking for a <b>Strategy Execution Lead</b> to join our EAME Distribution team and play a key role in shaping strategic decisions across the region.</p><br><br><p>In this role, you will partner with EAME leadership to deliver high-quality insights and reporting, driving strategic decisions through EAME-wide analytics, governance, and performance tracking across key growth initiatives.</p><br><br><p>This is a senior individual contributor role with high visibility, offering strong exposure to regional leadership and the opportunity to make an impact in a cross-functional environment.</p><br><br><br><p><b>What You Will Do</b></p><br><br><ul><li>Support regional growth by translating business performance data into actionable insights</li><li>Provide focused, executive‑level recommendations that support senior decision‑making</li><li>Enable consistent, data‑driven execution through robust analytics, reporting, and performance frameworks</li><li>Define and own key performance metrics, targets, and dashboards aligned with commercial strategy</li><li>Build growth forecasts and monitor performance across regions, partners, and distribution channels</li><li>Lead data visualization and insight storytelling for strategic and leadership‑level discussions</li><li>Act as a trusted senior analytics partner, influencing stakeholders across functions and geographies</li></ul><br><p><b>What You Have</b></p><br><br><ul><li>Strong expertise in data analysis, reporting, and dashboarding (e.g. Power BI), with the ability to turn complex data into clear, high-impact insights</li><li>Proven ability to create executive-level content and reporting (e.g. monthly reports, leadership materials) with a focus on accuracy and relevance</li><li>Strong presentation development skills, particularly in PowerPoint, with the ability to translate complex analyses into clear, visually compelling storytelling; experience with Think-cell is highly desirable</li><li>Excellent stakeholder management and governance skills, with confidence working closely with senior leadership</li><li>Ability to operate and influence in a cross-functional, matrixed environment</li><li>A passion for high-quality, insight-driven work that supports strategic decision-making</li><li>Strong ownership mindset, with the ability to lead analytics and reporting independently in an individual contributor role</li></ul><br><br><p><b>Education / Qualifications</b></p><br><br><ul><li>minimum 3 years’ experience from a large management consulting firm</li><li>Relevant degree or equivalent demonstrated work experience</li><li>Excellent written and verbal communication skills</li><li>High level of curiosity and investigative mindset with attention to detail</li><li>Strong data analysis and visualization skillset. Knowledge of (e.g.) PowerBI, Excel, <span>Python, Snowflake,</span> SQL queries is beneficial</li></ul><br><ul><li><b>The role will require a 5 day a week on site presence</b></li></ul><br><br><br><br><br><br><br><p><b>Posting Dates:</b></p><br><br>July 21, 2026 - July 27, 2026<br><br><p><span>Caterpillar is an Equal Opportunity Employer.&nbsp; Qualified applicants of any age are encouraged to apply</span></p><br><br><br><p>Not ready to apply? Join our Talent Community.</p><br><br><br><br> </div>

???? We’re Hiring: Retirement Consultant???? Employment Type: Full-Time???? Level: Entry-Level to Mid-Level We are seeking a strategic, analytical, and data-driven Data Analyst & Strategic Plan Manager to transform business data, market intelligence, and customer insights into actionable strategies that support business growth. This role will combine data analysis with strategic planning, working closely with cross-functional teams and senior management to identify opportunities, monitor performance, and drive business initiatives. The role aligns closely with the current Malaysia posting, which emphasizes strategic planning, market and customer analysis, KPI dashboards, data-driven recommendations, and cross-functional implementation. (Hiredly)???? Key Responsibilities• Develop and execute strategic plans to support business growth and long-term organizational objectives.• Collect, analyze, and interpret business, sales, customer, operational, and market data.• Conduct market research and analyze industry trends, competitor activities, customer behavior, and business opportunities.• Translate complex data into clear, actionable insights and strategic recommendations.• Develop and maintain dashboards, reports, and KPI tracking systems for management review.• Monitor business performance against strategic objectives, KPIs, targets, and milestones.• Identify performance gaps, risks, trends, and opportunities for improvement.• Support senior management in strategic decision-making through data-driven analysis.• Develop business forecasts, performance models, scenario analysis, and strategic projections where required.• Collaborate with Finance, Marketing, Operations, Sales, Merchandising, IT, and other departments to gather and validate business information.• Coordinate the implementation of strategic initiatives and monitor progress against agreed plans.• Prepare management presentations, business reviews, strategy papers, and analytical reports.• Establish structured data-collection and analysis processes to improve reporting accuracy and efficiency.• Identify opportunities for business expansion, cost optimization, operational improvement, and revenue growth.• Analyze customer trends and purchasing behavior to support product, pricing, marketing, and commercial strategies.• Conduct competitor benchmarking and market-performance analysis.• Support annual business planning, budgeting, forecasting, and strategic review processes.• Track strategic initiatives, action items, dependencies, risks, and expected outcomes.• Develop data-driven recommendations for improving business performance and operational efficiency.• Continuously improve analytical models, dashboards, reporting processes, and strategic-planning methodologies.✅ Requirements• Experience in Data Analytics, Business Analysis, Strategy & Planning, Business Intelligence, Commercial Analysis, or a related field is preferred.• Strong analytical and critical-thinking skills with the ability to convert data into meaningful business insights.• Strong understanding of strategic planning, business performance management, and KPI analysis.• Experience conducting market research, competitor analysis, customer analysis, and business performance analysis.• Strong proficiency in Microsoft Excel, Power Point, and data visualization tools.• Experience with Power BI, Tableau, SQL, Python, or other data analytics tools is an advantage.• Experience developing dashboards and management reports to monitor business performance.• Strong understanding of data collection, cleansing, validation, interpretation, and reporting.• Excellent presentation and communication skills with the ability to explain analytical findings to senior management and non-technical stakeholders.• Strong project management and cross-functional collaboration skills.• Ability to manage multiple strategic initiatives, analytical projects, and deadlines simultaneously.• Strong problem-solving skills with a commercial and business-oriented mindset.• High attention to detail and strong numerical ability.• Ability to identify trends, patterns, risks, and opportunities from large or complex datasets.• Knowledge of retail, FMCG, consumer behavior, commercial strategy, or business operations is an advantage.• Familiarity with financial analysis, forecasting, budgeting, and business planning is preferred.• Bachelor’s degree in Data Analytics, Business Administration, Statistics, Economics, Finance, Mathematics, Information Systems, Business Intelligence, or a related field is preferred.• Relevant certifications in Data Analytics, Business Intelligence, Power BI, SQL, Strategy, or Business Analysis are an advantage.???? What We Offer• Opportunity to combine Data Analytics, Strategic Planning, Business Intelligence, and Commercial Strategy.• Exposure to market research, customer analytics, competitor intelligence, business performance, and strategic decision-making.• Opportunity to work directly with senior management and cross-functional business teams.• Hands-on experience developing dashboards, KPI frameworks, analytical models, and strategic initiatives.• Opportunity to contribute to business growth, optimization, expansion, and digital transformation projects.• Career progression into Senior Data Analyst, Business Analyst, Strategy Analyst, Strategic Planning Manager, Business Intelligence Manager, Commercial Strategy Manager, or Head of Strategy & Analytics roles.• A data-driven, analytical, and collaborative working environment.• Professional training, technical certifications, mentorship, and continuous career development opportunities.• Competitive compensation, performance incentives, and comprehensive benefits package.

About Us<br>Since 1974, S. K. M Air Conditioning LLC has been a trusted leader in HVAC manufacturing across the Middle East and beyond. With 2,000+ employees representing 30+ nationalities, SKM operates in 8+ countries and delivers innovative climate solutions to more than 30 global markets. Our growth is powered by our people, and we are committed to engineering excellence, innovation, and delivering superior customer value in everything we do.<br>Why Join SKM?<br>At SKM, you’ll be part of a dynamic, growth-driven organization where your work directly shapes our most important asset: our team. We value proactive partnership, a strategic mindset, and a people-first approach.<br>Role Overview<br>This role combines deep manufacturing domain expertise (60%) with strong AI technology skills (40%) to lead the design and deployment of Agentic AI solutions across Sales, Engineering, Planning, Procurement, Production, Inventory Management, Cost Control and other operational departments. The AI & Business Process Automation Specialist will identify high-impact automation opportunities through hands-on process analysis, design and implement AI agent workflows using Agentic AI frameworks, RAG architectures, and enterprise system integrations, and drive measurable business outcomes including cost reduction, lead time & cycle time improvement, and operational efficiency gains. <br>Key Responsibilities<br>The AI & Business Process Automation Engineer will undertake a range of tasks spanning manufacturing domain analysis and AI-driven automation, including:<br>Conducting deep-dive process analysis across Engineering, Planning, Procurement, Production, Inventory Management and Cost Control— documenting end-to-end workflows, identifying pain points, manual bottlenecks, and decision points ripe for AI automation. Designing and building Agentic AI workflows — translating business process opportunities into agent specifications: defining what the agent should do, what data it needs via RAG, what systems it integrates with, and what decisions require human oversight. Implementing RAG architectures that connect AI agents to enterprise knowledge bases, SOPs, technical specifications, ERP data, and historical records for context-aware decision making. Building and managing integration touchpoints between AI agents and enterprise systems (Infor LN ERP, Power BI, Power Automate, Share Point, email workflows) using REST APIs, MCP, webhooks, and connectors. Acting as the primary bridge between functional teams and the AI transformation initiative — building trust by demonstrating deep understanding of their daily challenges. Validating AI agent outputs against real-world business logic, defining acceptance criteria grounded in actual manufacturing operations, and establishing AI governance frameworks including audit trails and explain ability standards. Prioritizing automation opportunities based on business impact, feasibility, and implementation complexity — creating business cases with clear before/after metrics for each initiative. Running continuous improvement cycles — collecting feedback from end users, identifying agent failure modes, refining agent behavior, and staying current with emerging AI trends to drive innovation. Conducting workshops, demos, and training sessions to drive AI adoption across departments, and reporting progress, results, and roadmap to senior leadership with clear business impact metrics.<br>Requirements<br>3 - 8 years of experience working in manufacturing operations, supply chain, or industrial business processes, with hands-on exposure to at least 2–3 functions: Engineering, Planning, Inventory Management, Procurement, Production/Cost Control. Direct experience working with ERP systems in a manufacturing context (Infor LN strongly preferred; SAP or Oracle acceptable), including Power BI, Power Automate, and Power Apps.<br>Skills & Experience<br>Demonstrated hands-on experience with Agentic AI workflows, RAG implementations, or enterprise AI integration projects. Must be able to design agent specifications, define data requirements, and architect integration touchpoints. Comfortable with Python scripting, SQL, and API concepts for building automation workflows, data pipelines, and AI agent configurations<br>Join Us<br>At SKM Air Conditioning LLC, you will be more than just a AI and Business Process Automation Engineer, you will be an architect of our workforce, directly enabling our mission to provide world-class HVAC solutions. If you are passionate about connecting talent with opportunity and want to build your career with an industry leader, we want to hear from you.<br>???? Apply directly or send your CV to Jobs@skmaircon.com with the subject line KAI and Business Process Automation Engineer.

Job Description<br><br>Synopsis<br><br>As Product Specialist – Cargo Digital Systems, you will support the delivery, enhancement, and day-to-day evolution of Etihad Cargo’s digital platforms and commercial systems ecosystem, with a strong focus on the Cargo Booking Website, API integrations, and internally developed digital applications.<br><br>You will work closely with Product Owners, Cargo business stakeholders, DT&I, vendors, and development teams to gather requirements, define solutions, coordinate deliveries, perform testing activities, and support continuous product improvements.<br><br>The role combines product analysis, business process understanding, technical coordination, and hands-on support for digital product development initiatives. You will contribute to Agile product delivery while supporting the development and enhancement of web applications built primarily using Java Script and React technologies.<br><br>This role is ideal for candidates with strong analytical and problem-solving capabilities who are interested in developing broader technical, digital product, and application development skills.<br><br> Accountabilities<br><br>• Prioritize and coordinate the delivery of bug fixes, enhancements, and new releases for Cargo systems in collaboration with DT&I and Cargo stakeholders across Commercial and Operations.<br><br>• Support the delivery of enhancements, fixes, integrations, and new features across Etihad Cargo digital platforms and Cargo systems.<br><br>• Act as a key contributor for the Etihad Cargo Booking Website, supporting feature enhancements, business requirements gathering, testing activities, and coordination with vendors and developers.<br><br>• Support integration projects between Cargo systems, customer platforms, and third-party applications.<br><br>• Assist in the design, coordination, and delivery of small internal applications, automation tools, and operational support solutions.<br><br>• Gather and document business requirements from Commercial, Revenue Management, Pricing, Sales, Operations, Customs, and Ground Handling stakeholders.<br><br>• Translate business requirements into user stories, functional specifications, acceptance criteria, and process flows.<br><br>• Support backlog refinement, sprint planning, demos, and retrospectives.<br><br>• Coordinate closely with DT&I teams, vendors, and developers to ensure requirements and priorities are clearly understood.<br><br>• Perform User Acceptance Testing (UAT), regression testing, and validation of delivered functionalities.<br><br>• Track defects, support issue analysis, and coordinate resolution activities with vendors and technical teams.<br><br>• Support monitoring of product usage, operational KPIs, and user feedback to identify improvement opportunities.<br><br>• Contribute to UX improvements by supporting the design of intuitive and efficient user workflows.<br><br>• Support lightweight technical activities such as data analysis, API testing, configuration validation, and basic scripting/automation initiatives.<br><br>• Assist in maintaining documentation including release notes, process documentation, test scenarios, and knowledge articles.<br><br>• Ensure solutions comply with Etihad standards related to security, governance, and operational reliability.<br><br><br><br>Qualifications<br><br> <br><br>• Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Analytics, or related discipline.<br><br>• Minimum 3 years of experience in product analysis, digital products, system support, or business systems environments, preferably within cargo, aviation, logistics, or e-commerce industries.<br><br>• Good understanding of Agile methodologies such as Scrum or SAFe.<br><br>• Familiarity with web technologies such as Java Script, React, APIs, JSON, or modern web applications is preferred.<br><br>• Experience supporting digital platforms, customer portals, or API integrations is an advantage.<br><br>• Experience in User Acceptance Testing (UAT), defect management, and release coordination.<br><br>• Basic knowledge of SQL, Python, Power BI, or automation tools is advantageous.<br><br>• Strong analytical thinking and structured problem-solving skills.<br><br>• Excellent communication and stakeholder coordination abilities.<br><br>• Ability to work across business and technical teams in a collaborative environment.<br><br><br><br>Additional Information<br><br>Etihad Airways is more than the UAE’s national airline - we’re shaping the future of global aviation. From our hub in Abu Dhabi, we connect people across continents and cultures, while driving our “Journey 2030” ambition to double our fleet, expand our network and grow our people for a new era of excellence. Join us and become part of a vision where the world is your workplace and extraordinary experiences take flight.<br><br>To learn more visit www.etihad.com<br><br>Recruitment Fraud Alert<br><br>Beware of fraudulent job offers from individuals or organizations claiming to represent the Etihad group. We will never ask for personal information, bank details, or payment during the recruitment process. Interviews are conducted face-to-face or via video/telephone before any formal offer. If you are asked for money, please treat it as fraudulent.

Role Description We are seeking a highly analytical, research-driven, and innovative Crypto Research Analyst to conduct in-depth research and analysis of cryptocurrency markets, blockchain technologies, decentralized finance (DeFi), digital assets, and emerging Web3 ecosystems. The successful candidate will be responsible for evaluating blockchain projects, monitoring market trends, analyzing token economics, assessing investment opportunities, and delivering actionable insights that support strategic decision-making. This role collaborates with investment, trading, product, technology, risk, and executive teams to identify opportunities and risks within the rapidly evolving digital asset landscape. Key responsibilities include conducting comprehensive research on cryptocurrencies, blockchain protocols, decentralized applications (d Apps), Layer 1 and Layer 2 networks, stablecoins, tokenized assets, and Web3 ecosystems; analyzing tokenomics, governance models, consensus mechanisms, staking protocols, validator economics, and ecosystem sustainability; monitoring cryptocurrency markets, on-chain metrics, macroeconomic developments, regulatory changes, and industry trends to identify emerging opportunities and potential risks; performing fundamental, quantitative, and comparative analysis of blockchain projects using financial, technical, and on-chain data; evaluating decentralized finance (DeFi), decentralized exchanges (DEXs), lending protocols, liquid staking, restaking, NFTs, Real World Assets (RWAs), and other digital asset sectors; developing financial models, valuation frameworks, investment theses, and risk assessments for digital assets and blockchain projects; preparing detailed research reports, market commentaries, investment presentations, dashboards, and executive briefings; collaborating with portfolio managers, traders, quantitative analysts, data scientists, and product teams to support investment strategies and product development; utilizing blockchain analytics platforms to monitor wallet activity, transaction flows, protocol usage, and network performance; conducting competitor analysis and benchmarking emerging blockchain technologies; supporting due diligence for digital asset investments, strategic partnerships, and ecosystem evaluations; ensuring research complies with applicable regulatory requirements and internal governance standards; staying informed about technological advancements, protocol upgrades, token launches, and market developments; and contributing to thought leadership through white papers, research publications, and industry presentations. The Crypto Research Analyst is expected to combine strong financial analysis, blockchain expertise, and data-driven research skills to generate valuable insights that support investment and strategic decision-making. Success in this role requires intellectual curiosity, critical thinking, attention to detail, effective communication, and the ability to adapt to the fast-changing cryptocurrency and blockchain ecosystem. Qualifications Bachelor's degree in Finance, Economics, Computer Science, Data Science, Mathematics, Engineering, Business Administration, Blockchain Technology, or a related discipline. Strong understanding of blockchain technology, cryptocurrency markets, decentralized finance (DeFi), Web3, smart contracts, tokenomics, and digital asset ecosystems. Knowledge of major blockchain networks such as Bitcoin, Ethereum, Solana, BNB Chain, Avalanche, Polygon, Arbitrum, Optimism, Sui, Aptos, and other emerging protocols. Familiarity with blockchain analytics platforms such as Glassnode, Dune Analytics, Nansen, Arkham, Defi Llama, Token Terminal, Messari, Coin Metrics, Into The Block, or similar research tools. Understanding of financial analysis, valuation methodologies, investment research, quantitative analysis, and portfolio management principles. Proficiency in Microsoft Excel, SQL, Python, or data analysis tools for financial modeling and research is advantageous. Knowledge of on-chain analytics, wallet behavior analysis, protocol metrics, governance proposals, staking, liquidity analysis, and market microstructure. Familiarity with APIs, data visualization tools such as Power BI or Tableau, and blockchain explorers including Etherscan, Solscan, and Bsc Scan is beneficial. Strong analytical, quantitative, research, and problem-solving skills with the ability to synthesize complex technical and financial information. Excellent written, verbal, and presentation communication skills with the ability to produce high-quality research reports and investment insights. High level of integrity, attention to detail, intellectual curiosity, and commitment to objective analysis. Ability to collaborate effectively with multidisciplinary teams in investment, trading, product, engineering, and executive functions. Professional certifications such as CFA, CAIA, FRM, Certified Blockchain Professional (CBP), Certified Cryptocurrency Expert (CCE), or equivalent are considered advantageous but are not mandatory. Demonstrated commitment to continuous learning and staying current with blockchain innovation, digital asset regulation, artificial intelligence, decentralized technologies, tokenization, and emerging trends across the global cryptocurrency ecosystem.

Responsibilities<br><br>About the Team<br><br>We are building an intelligent enterprise-services platform to power Byte Dance's global growth and operations. Guided by an AI-First philosophy, the team delivers AI solutions built on industry best practices.<br><br>As a campus-hire AI Application Engineer, you will contribute to the end-to-end delivery of AI-powered business systems. Working alongside product, design, and cross-regional engineering teams, you will grow rapidly into an engineer capable of independently building AI products.<br><br>We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth.<br><br>Successful candidates must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume.<br><br>Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to our Company and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.<br><br>Online Assessment<br><br>Candidates who pass resume screening will be invited to participate in Our Company's technical online assessment.<br><br>Responsibilities<br><br> Build backend services and the Agent runtime, ensuring code quality, readability, and maintainability; continuously improve system performance and stability through profiling and tuning. Integrate internal enterprise systems into Agents via Tools / MCP / CLI / A2A. Take an role in code reviews, and learn and follow the team's coding standards and architectural conventions. Write clear, AI-friendly technical documentation and contribute to the team knowledge base. Explore embedding AI capabilities into backend services, and contribute to AI-driven feature development, evaluation, and validation.<br><br><br>Qualifications<br><br>Minimum Qualifications:<br><br> Bachelor's degree or above in Computer Science, AI, or a related field. Solid foundation in data structures, algorithms, and computer systems, with strong coding habits. Proficiency in one or more of Golang / Java / Python. Hands-on experience with distributed systems and microservice architecture. Hands-on experience with, and understanding of, AI Agent architectural patterns (reasoning, memory management, multi-Agent collaboration, etc.). Strong communication and collaboration skills; genuine interest in exploring the Agent engineering ecosystem.<br><br><br>Preferred Qualifications: AI related Experience<br><br> AI product Builder: as a core contributor to build an AI product / Agent / application aimed at real world users. able to articulate the product positioning, technology choices, user scale, and iteration process. Hands-on experience with different mainstream Agent frameworks (e.g., Lang Chain / Lang Graph, Claude Agent SDK, etc.), Prompt Engineering, Harness Engineering, Context Management and Evaluation.<br><br><br>By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://jobs.bytedance.com/en/legal/privacy<br><br>Job Information<br><br>About Us<br><br>Founded in 2012, Byte Dance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including Tik Tok, Lemon8, Cap Cut and Pico as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, Byte Dance has made it easier and more fun for people to connect with, consume, and create content.<br><br>Why Join Byte Dance<br><br>Inspiring creativity is at the core of Byte Dance's mission. Our innovative products are built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and enrich life - a mission we work towards every day.<br><br>As Byte Dancers, we strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our Company, and our users. When we create and grow together, the possibilities are limitless. Join us.<br><br>Diversity & Inclusion<br><br>Byte Dance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At Byte Dance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Responsibilities<br><br>About the Team<br><br>We are building an intelligent enterprise-services platform to power Byte Dance's global growth and operations. Guided by an AI-First philosophy, the team delivers AI solutions built on industry best practices.<br><br>As a campus-hire AI Application Engineer, you will contribute to the end-to-end delivery of AI-powered business systems. Working alongside product, design, and cross-regional engineering teams, you will grow rapidly into an engineer capable of independently building AI products.<br><br>We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth.<br><br>Successful candidates must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume.<br><br>Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to our Company and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.<br><br>Online Assessment<br><br>Candidates who pass resume screening will be invited to participate in Our Company's technical online assessment.<br><br>Responsibilities<br><br> Build backend services and the Agent runtime, ensuring code quality, readability, and maintainability; continuously improve system performance and stability through profiling and tuning. Integrate internal enterprise systems into Agents via Tools / MCP / CLI / A2A. Take an role in code reviews, and learn and follow the team's coding standards and architectural conventions. Write clear, AI-friendly technical documentation and contribute to the team knowledge base. Explore embedding AI capabilities into backend services, and contribute to AI-driven feature development, evaluation, and validation.<br><br><br>Qualifications<br><br>Minimum Qualifications:<br><br> Bachelor's degree or above in Computer Science, AI, or a related field. Solid foundation in data structures, algorithms, and computer systems, with strong coding habits. Proficiency in one or more of Golang / Java / Python. Hands-on experience with distributed systems and microservice architecture. Hands-on experience with, and understanding of, AI Agent architectural patterns (reasoning, memory management, multi-Agent collaboration, etc.). Strong communication and collaboration skills; genuine interest in exploring the Agent engineering ecosystem.<br><br><br>Preferred Qualifications: AI related Experience<br><br> AI product Builder: as a core contributor to build an AI product / Agent / application aimed at real world users. able to articulate the product positioning, technology choices, user scale, and iteration process. Hands-on experience with different mainstream Agent frameworks (e.g., Lang Chain / Lang Graph, Claude Agent SDK, etc.), Prompt Engineering, Harness Engineering, Context Management and Evaluation.<br><br><br>By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://jobs.bytedance.com/en/legal/privacy<br><br>Job Information<br><br>About Us<br><br>Founded in 2012, Byte Dance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including Tik Tok, Lemon8, Cap Cut and Pico as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, Byte Dance has made it easier and more fun for people to connect with, consume, and create content.<br><br>Why Join Byte Dance<br><br>Inspiring creativity is at the core of Byte Dance's mission. Our innovative products are built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and enrich life - a mission we work towards every day.<br><br>As Byte Dancers, we strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our Company, and our users. When we create and grow together, the possibilities are limitless. Join us.<br><br>Diversity & Inclusion<br><br>Byte Dance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At Byte Dance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <strong><u>Senior Data Engineer</u></strong> &nbsp; <ul> <li>12 month extendable contract </li><li>Abu Dhabi | Office Based </li></ul> <p>I am seeking an experienced <strong>Senior Data Engineer</strong> to join a growing data and analytics team responsible for building scalable, secure, and high-performance data platforms. The successful candidate will design, develop, and optimize modern data solutions that support advanced analytics, business intelligence, and machine learning initiatives.</p><br><br> <p>This role requires expertise in large-scale data engineering, cloud technologies, and modern data architectures, with a strong focus on reliability, performance, security, and data governance.&nbsp;</p><br><br> <strong><u>Key Responsibilities</u></strong> <ul> <li>Design, develop, and maintain scalable data pipelines and ETL/ELT processes to ingest, transform, and process large-scale datasets.&nbsp; </li><li>Build and optimize data processing frameworks using technologies such as Spark, Delta Lake, Kafka, and other modern big data platforms. </li><li>Develop and maintain data models, schemas, data lakes, lakehouses, and data warehouses that support analytics and reporting requirements. </li><li>Implement data quality, validation, monitoring, and observability frameworks to ensure data accuracy and reliability. </li><li>Design and support real-time and batch data processing solutions using streaming technologies and distributed systems.&nbsp; </li><li>Ensure compliance with security, privacy, access control, and regulatory requirements for sensitive data.&nbsp; </li><li>Collaborate closely with data scientists, analysts, architects, and business stakeholders to deliver high-value data products and services.&nbsp; </li><li>Manage and enhance distributed data platforms to ensure scalability, availability, and performance.&nbsp; </li><li>Contribute to data governance, master data management, metadata management, and data catalog initiatives.&nbsp; </li><li>Stay current with emerging technologies, industry best practices, and innovations in cloud and data engineering.&nbsp; </li></ul> <u><strong>Required Qualifications</strong></u> <ul> <li>Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field. </li><li>Minimum 5 years of experience designing, building, and operating enterprise-scale data platforms and pipelines.&nbsp; </li><li>Strong proficiency in SQL and Python.&nbsp; </li><li>Hands-on experience with Apache Spark, distributed data processing frameworks, workflow orchestration tools, and messaging platforms such as Kafka.&nbsp; </li><li>Experience with cloud-based data solutions on Azure, AWS, or Google Cloud Platform. </li><li>Strong knowledge of data warehousing, data lakes, lakehouse architectures, and data modeling methodologies.&nbsp; </li><li>Experience working with containerization and orchestration technologies such as Docker and Kubernetes.&nbsp; </li><li>Understanding of data governance, data quality, security, and privacy best practices.&nbsp; </li><li>Strong analytical, problem-solving, and communication skills.&nbsp; </li></ul> <br> #LI-MW1 <br><br> </div>

Job Description<br><br>Synopsis<br><br>As Product Specialist – Cargo Digital Systems, you will support the delivery, enhancement, and day-to-day evolution of Etihad Cargo’s digital platforms and commercial systems ecosystem, with a strong focus on the Cargo Booking Website, API integrations, and internally developed digital applications.<br><br>You will work closely with Product Owners, Cargo business stakeholders, DT&I, vendors, and development teams to gather requirements, define solutions, coordinate deliveries, perform testing activities, and support continuous product improvements.<br><br>The role combines product analysis, business process understanding, technical coordination, and hands-on support for digital product development initiatives. You will contribute to Agile product delivery while supporting the development and enhancement of web applications built primarily using Java Script and React technologies.<br><br>This role is ideal for candidates with strong analytical and problem-solving capabilities who are interested in developing broader technical, digital product, and application development skills.<br><br> Accountabilities<br><br>• Prioritize and coordinate the delivery of bug fixes, enhancements, and new releases for Cargo systems in collaboration with DT&I and Cargo stakeholders across Commercial and Operations.<br><br>• Support the delivery of enhancements, fixes, integrations, and new features across Etihad Cargo digital platforms and Cargo systems.<br><br>• Act as a key contributor for the Etihad Cargo Booking Website, supporting feature enhancements, business requirements gathering, testing activities, and coordination with vendors and developers.<br><br>• Support integration projects between Cargo systems, customer platforms, and third-party applications.<br><br>• Assist in the design, coordination, and delivery of small internal applications, automation tools, and operational support solutions.<br><br>• Gather and document business requirements from Commercial, Revenue Management, Pricing, Sales, Operations, Customs, and Ground Handling stakeholders.<br><br>• Translate business requirements into user stories, functional specifications, acceptance criteria, and process flows.<br><br>• Support backlog refinement, sprint planning, demos, and retrospectives.<br><br>• Coordinate closely with DT&I teams, vendors, and developers to ensure requirements and priorities are clearly understood.<br><br>• Perform User Acceptance Testing (UAT), regression testing, and validation of delivered functionalities.<br><br>• Track defects, support issue analysis, and coordinate resolution activities with vendors and technical teams.<br><br>• Support monitoring of product usage, operational KPIs, and user feedback to identify improvement opportunities.<br><br>• Contribute to UX improvements by supporting the design of intuitive and efficient user workflows.<br><br>• Support lightweight technical activities such as data analysis, API testing, configuration validation, and basic scripting/automation initiatives.<br><br>• Assist in maintaining documentation including release notes, process documentation, test scenarios, and knowledge articles.<br><br>• Ensure solutions comply with Etihad standards related to security, governance, and operational reliability.<br><br><br><br>Qualifications<br><br> <br><br>• Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Analytics, or related discipline.<br><br>• Minimum 3 years of experience in product analysis, digital products, system support, or business systems environments, preferably within cargo, aviation, logistics, or e-commerce industries.<br><br>• Good understanding of Agile methodologies such as Scrum or SAFe.<br><br>• Familiarity with web technologies such as Java Script, React, APIs, JSON, or modern web applications is preferred.<br><br>• Experience supporting digital platforms, customer portals, or API integrations is an advantage.<br><br>• Experience in User Acceptance Testing (UAT), defect management, and release coordination.<br><br>• Basic knowledge of SQL, Python, Power BI, or automation tools is advantageous.<br><br>• Strong analytical thinking and structured problem-solving skills.<br><br>• Excellent communication and stakeholder coordination abilities.<br><br>• Ability to work across business and technical teams in a collaborative environment.<br><br><br><br>Additional Information<br><br>Etihad Airways is more than the UAE’s national airline - we’re shaping the future of global aviation. From our hub in Abu Dhabi, we connect people across continents and cultures, while driving our “Journey 2030” ambition to double our fleet, expand our network and grow our people for a new era of excellence. Join us and become part of a vision where the world is your workplace and extraordinary experiences take flight.<br><br>To learn more visit www.etihad.com<br><br>Recruitment Fraud Alert<br><br>Beware of fraudulent job offers from individuals or organizations claiming to represent the Etihad group. We will never ask for personal information, bank details, or payment during the recruitment process. Interviews are conducted face-to-face or via video/telephone before any formal offer. If you are asked for money, please treat it as fraudulent.