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<p>We are looking for a detail-oriented and organized Data Entry Analyst to join our growing team.</p> <p>Key Responsibilities:</p> <p>Accurately enter, update, and maintain data in company systems and databases.<br /> Review and verify data for accuracy and completeness.<br /> Generate reports and maintain proper documentation.<br /> Identify and resolve data discrepancies.<br /> Ensure data confidentiality and compliance with company policies.<br /> Coordinate with different departments to maintain accurate records.<br /> Applicants may send cv via email address salamalaikalocal@gmail.com</p>

<p>This role requires a hands-on Data Engineer who has personally delivered and operated a full data lake on Azure. You will initially partner on build, then take full ownership of platform performance, scalability, and evolution. Client Details A multi-regional organisation undergoing a large-scale digital transformation focused on modern data platforms. The business is investing heavily in enterprise-grade cloud, data, and analytics capabilities Description * Design and build Azure-based data lake (ADLS, ADF, Synapse/Fabric) * Develop production-grade Spark pipelines (batch & near real-time) * Own data modelling for Power BI (star schema, semantic layers) * Implement data governance, lineage, and quality controls (e.g. Purview) * Take full ownership of platform BAU: monitoring, performance, cost Job Offer * End-to-end ownership of a business-critical data platform * Exposure to large-scale transformation and senior stakeholders</p><p>* 5-7 years' Data Engineering experience with at least 1 full data lake delivery * Expert in Azure stack (ADF, ADLS, Synapse/Fabric) + strong PySpark * Proven ownership of production pipelines (design, deploy, operate) * Strong SQL & Python; experience with APIs, ERP integrations (e.g. D365) * Demonstrated experience structuring data specifically for Power BI</p>

We offer you an Ocean of Possibilities. Join our family.<br><br>Data & AI Transformation Architect<br><br>Location: DMESS, Abu Dhabi, UAE<br><br>Department: Data & AI<br><br>Employment Type: Full-Time<br><br>Shape the Future of Data & AI at Damen<br><br>At Damen Shipyards Group, we are on an ambitious journey to become a truly data-powered organization. To support this vision, we are strengthening our Data & AI capabilities and investing in the people, platforms, governance, and technologies that will enable smarter decision-making across the enterprise. The role is intended to help evolve Damen's enterprise data architecture, governance, AI, and analytics capabilities while accelerating organizational data maturity.<br><br>We are not looking for someone who simply maintains architecture frameworks.<br><br>We are looking for a transformation-oriented Data & AI professional who has successfully helped organizations move from fragmented and developing data capabilities toward leading-practice Data & AI operating models. You may come from manufacturing, shipbuilding, construction, marine, offshore, engineering, energy, utilities, or similar asset-intensive industries where operational complexity, legacy systems, and disconnected data landscapes are common challenges.<br><br>This is an opportunity to drive meaningful change, influence business strategy, and shape the future of Data & AI within a global maritime leader.<br><br>The Role<br><br>As a Data & AI Transformation Architect, you will serve as a strategic advisor, consultant, and hands-on transformation leader. You will help define the future state of Damen's Data & AI landscape while ensuring practical execution and measurable business value.<br><br>You will work closely with business leaders, Data Owners, Data Stewards, Enterprise Architects, Data Engineers, Analysts, Governance teams, and operational stakeholders to establish scalable data foundations, promote AI adoption, strengthen governance, and improve data-driven decision-making across the organization. The role requires a balance between vision, stakeholder management, architecture expertise, and pragmatic delivery.<br><br>Key Responsibilities<br><br>Lead Data & AI Transformation<br><br>Assess current Data & AI capabilities and identify maturity improvement opportunities Define and execute practical transformation roadmaps aligned with business priorities Act as a trusted advisor to senior business and technology stakeholders Drive adoption of modern Data Management, Analytics, Governance, and AI practices Promote data-driven culture across business functions<br><br>Shape Enterprise Data Architecture<br><br>Develop and mature enterprise-wide data architecture principles, standards, and frameworks Further develop and operationalize the Enterprise Data Model Align business objectives, governance practices, architecture standards, and technology investments Support the evolution of Damen's Data & AI platform vision Establish scalable approaches for data ownership, stewardship, quality, and lifecycle management<br><br>Deliver Business Value<br><br>Translate business challenges into practical Data & AI solutions Identify and prioritize high-value use cases that deliver measurable business outcomes Support responsible and value-driven adoption of AI capabilities Enable operational efficiency, improved decision-making, and enhanced business performance through data<br><br>Drive Governance & Integration<br><br>Promote consistency and interoperability across enterprise platforms including SAP, Workday, Salesforce, Azure, and other strategic solutions Embed governance, security, compliance, and data quality principles into practical implementations Collaborate with Data Governance, Enterprise Architecture, Security, and MDM communities Drive standardization and reuse across business domains and systems<br><br>Influence & Build Capability<br><br>Facilitate workshops, strategy sessions, and stakeholder discussions Coach leaders and teams on Data Governance, Data Management, and AI adoption Translate complex technical concepts into clear business language Build strong relationships across functions, cultures, and geographies Support organizational change and long-term capability building<br><br>Experience<br><br>What We're Looking For<br><br>Minimum 10 years of experience in Data Architecture, Data Management, Analytics, AI, Digital Transformation, or related disciplines Proven experience leading enterprise-wide Data & AI transformation programs Experience within manufacturing, marine, shipbuilding, offshore, construction, engineering, energy, utilities, or similar asset-intensive industries Demonstrated success in improving organizational data maturity and business adoption Experience combining strategic consulting with practical hands-on implementation Experience working within complex international organizations<br><br>Technical Expertise<br><br>Enterprise Data Architecture Enterprise Data Modelling (Conceptual, Logical & Physical) Data Governance & Master Data Management Data Quality Management Microsoft Azure Microsoft Fabric Databricks Microsoft Purview AI & Advanced Analytics DAMA-DMBOK and/or TOGAFEnterprise platforms such as SAP, Workday and Salesforce<br><br>Personal Attributes<br><br>Consultant mindset with strong business acumen Strategic thinker who can also execute Excellent stakeholder management and influencing skills Strong communication and facilitation capabilities Pragmatic, hands-on, and outcome-oriented Comfortable working in complex, evolving environments Passionate about helping organizations accelerate their Data & AI maturity journey<br><br>Why Join Damen?<br><br>At Damen, you will have the opportunity to make a real impact by helping shape the future of Data & AI within a global maritime leader that is actively investing in digital transformation and data-driven decision-making. You will collaborate with business and technology stakeholders across multiple countries, functions, and business units, working on initiatives that influence how data and AI are embedded into day-to-day operations. As part of a growing Data & AI function, you will benefit from strong executive sponsorship, strategic investment, and the opportunity to play a key role in accelerating our organization's data maturity journey. This is a unique chance to combine innovation, transformation, and practical business value creation while working in a collaborative environment that encourages entrepreneurship, ownership, continuous improvement, and professional growth. Ultimately, your work will help build the foundation for Damen to become a truly data-powered and AI-enabled enterprise.<br><br>Ideal Candidate Profile<br><br>The ideal candidate is currently working as a Data Transformation Lead, Enterprise Data Architect, Data Strategy Consultant, Digital Transformation Consultant, Head of Data Governance, Data Management Lead, or similar role within a complex industrial organization and has successfully helped transform data capabilities from a developing stage into a mature, scalable, enterprise-wide function. This individual combines consulting skills, business acumen, architecture expertise, and transformation leadership to deliver lasting organizational impact.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>INTRODUCTION ATOM is a leading end-to-end, integrated insurance operating system built on the latest technology stack.<br> ATOM enables MGAs, Brokers and Insurers to automate the entire life cycle of the insurance process incorporating not only insurance underwriting and claims handling but also all associated support and corporate activities.<br> Based in one of the most innovative areas of Dubai, the DIFC Innovation Hub, a dynamic group of more than 40 passionate and dedicated insurance and software professionals are on a mission to take the specialty insurance industry to the next level.<br> We are looking for an experienced Data Engineer to join our growing team!<br> ROLE SUMMARY As a Data Engineer you will contribute across the end-to-end data development lifecycle for data ingestion, cleansing, validation, transformation, curation and presentation.<br> Reporting to the Principal Data &amp; AI, you will work within a talented team of data engineers to deliver high-impact, secure data and AI solutions that support the ambitious goals of ATOM’s customers and stakeholders.<br> RESPONSIBILITIES • Hands-on Engineering &amp; Delivery ◦ Develop, test, and maintain robust ETL/ELT pipelines to ingest and transform data from multiple sources into the data lake and data marts.<br> ◦ Implement robust web scraping solutions.<br> ◦ Optimise performance and cost of data workloads (partitioning, compression, query tuning, etc).<br> • Data Modelling &amp; Platform Contribution ◦ Apply data modelling standards (dimensional models, star/snowflake schemas, canonical data models) to support reporting, analytics, and AI/ML use cases.<br> ◦ Contribute to the evolution of the cloud data architecture under the guidance of the Principal Data &amp; AI.<br> • Analytics, BI, ML &amp; AI Enablement ◦ Work with data scientists, ML engineers, and analytics teams to support the productionisation of ML/AI and LLM-based solutions through reliable data pipelines and feature stores.<br> ◦ Expose curated, well-documented datasets to enable self-service reporting, dashboards, and analytical tools.<br> • Quality, Governance &amp; Security ◦ Follow data governance, data quality, and metadata management practices across the platform.<br> ◦ Apply security best practices (IAM roles and policies, encryption at rest and in transit, row/column-level security, auditing and monitoring).<br> • Collaboration &amp; Ways of Working ◦ Partner with product, engineering, and business stakeholders to understand data requirements and translate them into scalable technical solutions.<br> ◦ Contribute to code reviews, documentation, testing, and DevOps/CI-CD practices, adhering to clean code, reusable components, version control, and observability standards.<br> • Hands-on experience as a data engineer with focus on Snowflake, Databricks, Azure, GCP and/or AWS platforms.<br> • Strong programming skills in Python, SQL and other relevant languages.<br> • Proven experience in developing ETL/ELT pipelines using various technologies, including but not limited to dbt, Informatica, Talend, AWS Glue, Python, SQL, etc.<br> • Working knowledge of SAP HANA / SAP HANA Cloud data modelling, XS Engine, Calculation Views, SDI/SDA is a strong plus.<br> • Experience with analytical frontend tools (e.<br>g. Power BI, Tableau, Spotfire, MicroStrategy, SAP Analytics Cloud).<br> • Exposure to Large Language Models, generative AI, and intelligent agents, including hands-on experience building Agentic AI workflows and automations using tools such as n8n, LangChain / LangGraph, Make (Integromat), Zapier AI, CrewAI, or similar orchestration frameworks.<br> • Experience delivering CI/CD and DevOps capabilities in a data environment.<br> • A bachelor’s or master’s degree in computer science, Statistics, Mathematics or related.<br> • A collaborative, proactive problem solver with strong communication skills and the ability to work effectively across diverse teams.<br> • At minimum 5 years of experience in a similar role.<br></span> </div>

<p>This role requires a hands-on Data Engineer who has personally delivered and operated a full data lake on Azure. You will initially partner on build, then take full ownership of platform performance, scalability, and evolution. Client Details A multi-regional organisation undergoing a large-scale digital transformation focused on modern data platforms. The business is investing heavily in enterprise-grade cloud, data, and analytics capabilities Description * Design and build Azure-based data lake (ADLS, ADF, Synapse/Fabric) * Develop production-grade Spark pipelines (batch & near real-time) * Own data modelling for Power BI (star schema, semantic layers) * Implement data governance, lineage, and quality controls (e.g. Purview) * Take full ownership of platform BAU: monitoring, performance, cost Job Offer * End-to-end ownership of a business-critical data platform * Exposure to large-scale transformation and senior stakeholders</p><p>* 5-7 years' Data Engineering experience with at least 1 full data lake delivery * Expert in Azure stack (ADF, ADLS, Synapse/Fabric) + strong PySpark * Proven ownership of production pipelines (design, deploy, operate) * Strong SQL & Python; experience with APIs, ERP integrations (e.g. D365) * Demonstrated experience structuring data specifically for Power BI</p>

Role: Business Data Analyst (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $50 - $60/hour<br>Role Overview:We are hiring for one of our clients, seeking a Data Analyst to work on a contract basis to extract, transform, and load data, and perform statistical analysis to identify trends and insights. The role involves creating data visualizations and dashboards to support business decision-making. Responsibilities include collaborating with cross-functional teams to define data requirements and ensure data accuracy.<br>Key Responsibilities:• Extract, clean, and transform raw data from multiple sources for analysis.• Perform statistical analysis and modeling to identify trends, patterns, and insights.• Develop and maintain interactive dashboards and reports using BI tools.• Validate data integrity and ensure consistency across datasets.• Present findings and recommendations to stakeholders in clear, actionable formats.<br>Required Skills & Qualifications:• Proficiency in SQL for querying and manipulating large datasets.• Experience with Python or R for data analysis and automation.• Hands-on experience with data visualization tools such as Tableau or Power BI.• Strong understanding of statistical methods and data modeling techniques.• Ability to work with unstructured data and large-scale datasets efficiently.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Data Infrastructure and Analytics industry, contributing to data-driven decision-making and operational efficiency. The position supports key business initiatives through accurate and timely data insights.<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: AI Data Collector (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $139 - $140/hour<br>Role Overview:We are hiring for one of our clients, seeking an AI Facial Data Collection Contributor to work on a contract basis. This role involves collecting and processing facial data for AI model training. Candidates must meet eligibility criteria for referrals.<br>Key Responsibilities:• Collect high-quality facial images using provided guidelines and tools.• Ensure data collection complies with privacy and ethical standards.• Maintain clear records of collected data, including timestamps and metadata.• Verify data accuracy and consistency before submission.• Follow secure protocols for data storage and transmission.<br>Required Skills & Qualifications:• Experience with facial data collection or image processing is required.• Familiarity with data privacy regulations and ethical AI practices is necessary.• Ability to work independently with minimal supervision.• Strong attention to detail to ensure high-quality data collection.• Basic technical proficiency with digital devices and software tools.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development of advanced AI models. The client values contributors who can deliver reliable and high-integrity data.<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!

<ul><li><p><strong>Core Data Management Expertise</strong></p><p>Candidates should demonstrate proven consulting and implementation experience across several of the following areas:</p><ul><li><p>Enterprise Data Governance framework design and operationalization</p></li><li><p>Current-state and Data Management maturity assessments, gap analysis, and improvement roadmaps</p></li><li><p>Data Quality frameworks, dimensions, business rules, controls, scorecards, monitoring, root-cause analysis, and remediation planning</p></li><li><p>Metadata Management, including business glossaries, data dictionaries, data catalogues, lineage, ownership, and stewardship</p></li><li><p>Master Data Management (MDM), reference data, Golden Record, matching, survivorship, deduplication, and authoritative data sources</p></li><li><p>Enterprise Data Modelling, including conceptual and logical models</p></li><li><p>Data classification, privacy, security, risk, retention, and regulatory compliance</p></li><li><p>Data exchange and interoperability, including APIs, data contracts, integration standards, and cross-system data flows</p></li><li><p>Data strategy, operating models, annual roadmaps, KPIs, governance controls, risk registers, and executive reporting</p></li><li><p>Development of policies, standards, procedures, SOPs, governance playbooks, and formal documentation suitable for organizational approval</p></li></ul><br><p><strong>Emerging and Strategic Capabilities</strong></p><p>Priority should be given to candidates who can support emerging Digital Dubai requirements, particularly:</p><ul><li><p><strong>AI-ready data</strong>, including data readiness assessments, fitness-for-purpose and quality for AI, metadata, lineage and provenance, ownership, privacy-by-design, and ongoing governance</p></li><li><p><strong>Dubai Registers and authoritative data sources</strong>, including register governance, ownership models, unified definitions, Data Quality, metadata, unique identifiers, interoperability, and single-source-of-truth principles</p></li><li><p><strong>Government-wide data exchange</strong>, including entity onboarding, data inventory and prioritization, classification, metadata onboarding, data contracts, compliance monitoring, and ongoing data maintenance</p></li><li><p><strong>Automation of Data Management controls</strong>, including automated profiling, validation, Data Quality monitoring, workflow tracking, and management dashboards</p></li><li><p>Experience translating strategies and frameworks into practical operating models, implementation roadmaps, governance controls, measurable KPIs, and sustainable operational processes</p></li><li><p>Ability to bridge <strong>business, governance, policy, and technical teams</strong>, rather than being limited to either policy documentation or technical implementation alone</p></li></ul><br><p><strong>Government and Stakeholder Experience</strong></p><p>The preferred candidate should have:</p><ul><li><p>Strong experience in government, public-sector, regulated, or complex federated environments</p></li><li><p>Experience working across multiple entities and coordinating business owners, data owners, stewards, legal, compliance, information security, architecture, engineering, and platform teams</p></li><li><p>Ability to facilitate workshops, achieve stakeholder alignment, present recommendations to senior leadership, and manage competing priorities</p></li><li><p>Strong executive writing, presentation, negotiation, advisory, and change-management skills</p></li><li><p>Experience building internal capability through structured knowledge transfer, training, governance playbooks, and mentoring</p></li></ul><br><p><strong>Preferred Frameworks, Certifications, and Tools</strong></p><p>Preference may be given to candidates with:</p><ul><li><p>CDMP, DCAM, Certified Data Governance Professional, Certified Data Quality Professional, or equivalent professional credentials</p></li><li><p>Practical knowledge of <strong>DAMA-DMBOK, DCAM, ISO 8000</strong>, and recognized Data Management maturity or governance frameworks</p></li><li><p>Experience with enterprise Data Governance, Data Quality, metadata, or data catalogue platforms such as <strong>Ataccama, Collibra, Alation, Informatica, or equivalent platforms</strong></p></li><li><p>Working knowledge of SQL, data profiling, Power BI or Tableau, and modern data platforms</p></li><li><p>Project or programme management certification or experience, such as <strong>PMP</strong>, particularly for candidates who have led or managed enterprise-wide data transformation initiatives</p></li></ul><br></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>Candidates should meet the qualification and experience requirements specified in the attached job analysis form:</p><ul><li><p><strong>Master’s degree</strong> in Data Management, Information Technology, Computer Science, Information Systems, Data Science, Statistics, or another closely related discipline, with approximately <strong>10–13 years of total experience</strong>, including <strong>8–10 years of relevant Data Management experience</strong> and <strong>2–3 years of supervisory or lead experience</strong>; or</p></li><li><p><strong>Bachelor’s degree</strong> in a relevant discipline, with approximately <strong>12–15 years of total experience</strong>, including <strong>9–11 years of relevant experience</strong> and <strong>3–4 years of supervisory or lead experience</strong>.</p></li><li><p>Strong professional communication capability is required. <strong>Arabic and English capability is strongly preferred</strong>, particularly for candidates expected to prepare governance documentation and engage with government stakeholders.</p></li></ul></li></ul><br><p>Data Governance Data Quality SQL</p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><ul><li>Architect and implement robust, scalable data pipelines on Azure using Databricks, ensuring efficient data ingestion, transformation, and loading.</li><li>Design and manage real-time data streaming solutions with Kafka, enabling low-latency data processing and event-driven architectures.</li><li>Lead the development of data models and schemas optimized for performance and analytical querying within the Azure ecosystem.</li><li>Oversee the deployment, monitoring, and optimization of data infrastructure, ensuring high availability and cost-effectiveness.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field.</li><li>5+ years of progressive experience in data engineering, with a strong focus on cloud platforms.</li><li>Proven expertise in Azure services, particularly Azure Databricks and Azure Data Factory.</li><li>Deep understanding of Kafka for real-time data streaming and event processing.</li></ul><p></p></section>

***HIRING***<br>Job Title – AWS Data Engineer Salary – AED 24,000 – AED 24,500 Per Month Contract Length – 6 Months (view to extend) Location – Abu Dhabi Start Date – ASAP <br>The role will focus on building scalable AWS-based ingestion pipelines, optimizing performance, and ensuring alignment with architecture and data quality standards.<br>Key Responsibilities Build and maintain data ingestion pipelines using AWS Glue, PySpark, S3, Athena, and Lambda. Implement CDC, full load, delta, snapshot, and historical loading patterns. Develop and optimize Bronze-layer ingestion pipelines. Improve pipeline performance through partitioning, parallelization, and AWS best practices. Automate deployment and infrastructure using Git and Terraform. Ensure pipelines comply with data contracts, monitoring, and data quality standards. Work closely with Data Architects, Data Assurance, and Platform teams. Identify opportunities to automate repetitive migration and engineering activities.<br>Required Skills & Experience5+ years of experience in Data Engineering. Strong hands-on experience with AWS data services, particularly Glue, S3, Athena, and Lambda. Strong PySpark and ETL/ELT development experience. Good understanding of Lakehouse architecture and Medallion design principles. Experience with CDC, batch ingestion, delta loads, and historical data migration. Experience with Git, Terraform, CI/CD, and Agile/Jira. Banking or financial services experience is an advantage<br>Regards,Ollie

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Job Purpose<p><span>dnata is more than a global air and travel services provider. We connect people with possibilities and opportunities across 130+ airports in 34 countries through ground handling, cargo, travel, and catering &amp; retail services. Our purpose is clear: to deliver on the promises our customers make. We are powered by a bold vision to be the world’s most admired air and travel services provider, which guides our strategy, culture, and every role across our teams. Our core values fuel everything we do: we are safe, we play to win, we respect everyone and work together as a team, and we are future thinking. At dnata, we foster diversity, nurture ambition, and celebrate achievement. If you're inspired by purpose and motivated to be part of a global team shaping the future of aviation and travel, we’d love to have you onboard.</span></p><br><br><p><span>The Senior Data Engineer is a fully-participating member of a cross-functional team working autonomously on technology development and problem resolution in the Enterprise Data &amp; Analytics space. The role involves the design, development, testing, implementation, support and maintenance of technical data and analytic solutions and products that support Emirates Airlines and the Emirates Group businesses.</span></p><br><br><p><span>In this role, you will:</span></p><br><br><ul><li>Lead technical design and build for small to medium sized solutions in a team. Translate functional and non-functional data and analytics requirements into fit for purpose technical design. Ensure solution performance, business edge cases and security related issues are addressed while developing software.</li></ul><ul><li>Debug issues of complexity, resolve blockers and follow design documents with minimal or no supervision.</li><li>Complete data engineering coding tasks on problems of moderate to high scope and complexity. Demonstrate good coding principles. Conduct code review for peers. Ensure solutions adhere to published data privacy and cybersecurity principles.</li><li>Operate with a data-driven mindset. Help translate data and analytics requirements into data solutions based on the approved technical designs. Assist with data analysis activities such as source system analysis, data modelling, data dictionary collection, data profiling and source-to-target mapping to ensure solutions deliver on business needs.</li><li>Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors. Demonstrate good judgment in selecting methods and techniques for obtaining solutions.</li><li>Work with senior and lead data engineers in the technical design process by contributing in the analysis of data application, data integration, large data storage or data pipeline requirements.</li><li>Update data inventories and registries as required to keep metadata and data lineage up-to-date, following agreed Data Governance standards, guidelines and principles.</li><li>Carry out unit testing independently. Troubleshoot issues, and fix defects that are of moderate to high complexity.</li><li>Shadow senior and lead data engineers on design and architecture components, and collaborate with members of the cross-functional team to identify areas of inefficiency and propose solutions.</li><li>Adhere to published coding standards, guidelines and best practices and contribute to Data Engineering Playbooks and other data technology blueprints.</li></ul>Qualification<p><span>To be considered for this role, you must meet the below requirements:</span></p><br><br><ul><li>Degree in a relevant field such as Computer Science, Computational Mathematics, Computer Engineering or Software Engineering.</li><li>Specialization or electives in a Data &amp; Analytics field (e.g. Data Warehousing, Data Science, Business Intelligence) a nice-to-have</li><li>Experience 2+ years Data Engineering (Fewer years experience will be considered for Masters degree holders)</li><li>Minimum 2+ years of development, testing and support experience in the analytic applications such as Data Lake and Data Warehouse (preferably using the Big Data stack and Microsoft Azure cloud infrastructure)</li><li>Experience with batch or real-time data ingestion; experience with coding pipelines that handle massive quantities of data (structured and unstructured), securely and in a timely fashion</li><li>Understanding of data architecture concepts such as data modelling, Big Data storage, Lambda architecture, data vault and dimensional modelling nice-to-have</li><li>Understanding on integration with source systems; able to load operational systems data into a single data platform using data integration tools</li><li>Experience scheduling jobs that can be monitored efficiently and ensure data quality</li><li>Ability to conduct unit testing</li><li>Strong SQL querying skills required</li><li>Airline industry experience a nice-to-have</li></ul><br><ul><li>Knowledge and Skills:<ul><li>Strong ability to conduct data analysis (e.g. source system identification, data dictionary / metadata collection, data profiling, source-to-target mapping) is preferred</li><li>Operates with a You Code It, You Own It mindset (i.e. supports the products they build)</li><li>Demonstrated problem-solver; able to design and document solutions independently</li><li>Team player; able to collaborate with others to remove blockers, solve complex design problems and debug/resolve issues</li><li>Able to deliver solutions (and associated value) interatively</li><li>Is accountable and displays positive attitude</li><li>Self-starter and has passion for exploring and learning new technologies, especially those in the Enterprise Data &amp; Analytics space</li></ul></li><li>Technology Domain Key Technologies/Tools<ul><li>Big Data : Hadoop, Spark, Scala, Hive, H-Base, Sqoop, Oozie, Apache Nifi, Airflow, HDFS, ADLS (Gen 2), Azure Data Factory (ADF), DataBricks, Kafka, Elasticsearch, AVRO / PARQUET file formats</li><li>Data Analysis, Modelling and Reporting :Snowflake, SQL, Data Vault 2.0, MicroStrategy, Power BI</li><li>Cloud Technologies : Microsoft Azure and Cloudera technology stacks</li><li>Integration and Messaging :Streaming (e.g. Spark Streaming), SnapLogic, TIBCO, Kafka,</li><li>CI/CD :GIT Bitbucket, Azure DevOps, Jenkins, JIRA, Confluence</li><li>Automation : Java, Selenium, AppDynamics, HP Load Runner, Jmeter, Python, Automation Anywhere</li></ul></li></ul><p><span>Our services on the ground keep the world in the air. We’re one of the largest air services providers in the world, and you’ll find us in over 80 countries offering expertise in ground handling, cargo, travel and flight catering. We’re growing fast, and we’re looking for people with imagination and creativity to join our team of more than 40,000 people. We want potential stars to help us deliver on the promises our customers make.</span></p><br><br>Salary &amp; benefits<p>Join us in Dubai and enjoy an attractive tax-free salary and travel benefits that are exclusive to our industry, including discounts on flights and hotel stays worldwide.</p><br><br><p><span>Discover what it’s like to live and work in our fast-paced, cosmopolitan home city by visiting the Dubai Lifestyle section on our career’s website: www.emirates.com/careers.</span></p><br><br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Job Purpose<p>Emirates Flight Training is a modern, progressive department that utilises Competency Based Training and Assessment (CBTA) methodology in all our courses and is one of the few full Evidence Based Training (EBT) operators worldwide. Through continuous professional development and standardisation, you can expect to be trained and developed in the most up to date training methodologies to ensure you meet the exacting standards required by Emirates.</p><br><br><p>Data Analytics Specialist - Flight Training will facilitate and support the data capture, data modelling and testing to enable real-time data- driven decisions that contributes to business success. Identify data capture requirements and, along with inputs from relevant teams across the department, design and implement analytics solutions using proper analytical tools. Support the development and delivery of department data roadmap in collaboration with all internal teams and other relevant internal stakeholders, such as IT and Enterprise Data &amp; Analytics (ED&amp;A) teams.</p><br><br><p><strong>In this role, you will: </strong></p><br><br><ul><li>Understand requirements for tracking, measurement and reporting across assigned department.</li><li>Develop and maintain interactive Dashboards with tools like Power BI and Microstrategy to support various stakeholders with a focus of automated, dynamic self-service data landscape.</li><li>First line responsibility for timely data delivery, dashboard uptime and accuracy and escalate any data quality issues.</li><li>Lead on the manipulation of existing programming logics and structures to fit changing technologies and business demands.</li><li>Work with Enterprise Data &amp; Analytics (ED&amp;A) data engineering team, &amp; Emirates Group IT, to test and validate the data ingestion results and quality to support delivery of the overall agreed plan. </li><li>Build expertise in data engineering tools via languages such as Dataiku / Python, and Data warehouses such as Snowflake, to assist analysts on ad-hoc data capture into Data Warehouse.</li><li>Conduct user acceptance testing (UAT) on data capture by ED&amp;A into assigned department domain at the detailed level, and address data completion and quality issues. Liaise with ED&amp;A data engineers to do the fixes as needed to ensure deployment as per plan and the requirement.</li><li>Understanding of various visualization &amp; data warehousing tools to support various stakeholders with a focus of automated, dynamic self-service data landscape.</li><li>Support the ED&amp;A data governance team in addressing data governance requirements on assigned domain and to build data catalogues. Work with the ED&amp;A Data Governance team to drive Master &amp; Reference Data and Metadata Quality and curate quality content in the Enterprise Data Platform of the Emirates Group.</li><li>Support the team to enhance knowledge sharing across assigned department in understanding and utilizing the Analytics products to make data-backed decisions.</li></ul>Qualification<p><strong>To be considered for this role, you must meet the below requirements:</strong></p><br><br><p><strong>Qualifications &amp; Experience:</strong></p><br><br><ul><li>Degree in a relevant field, such as Business Administration, Operational Research, Industrial Engineering, Information Technology etc.</li><li>5+ years of experience in Information Technology. </li><li>Experience in Administration, General administration, Data Analytics, Reporting and Dashboard Implementation.</li></ul><p>Knowledge/skills:</p><br><br><ul><li>Experience within a similar business area where there has been a strong focus on data analytics with 2 years in a supervisory role.</li><li>Experience with the implementation of initiatives that are transformational in nature.</li><li>Business Intelligence Knowledge and deep understanding of Power BI Platform and good knowledge on MicroStrategy tool.</li><li>Good understanding on Data Science, Machine Learning and AI.</li><li>Good understanding of Snowflake and SQL based data integration.</li><li>Good understanding of Microsoft suite of data collaboration and process tools like Power Apps, Sharepoint.</li><li>Collaborative contributor in the sense that they can build trusted relationships and wide networks across a range of teams and individuals in order to deliver business benefits.</li><li>Good understanding on Data Governance and its documentation.</li><li>Ability to understand different user groups needs and translate those into workable solutions suitable for all user groups.</li><li>Clear communication skills, written and verbal.</li><li>Experience of working in a multi-cultural expatriate environment.</li></ul><p>Emirates Group is an international organisation with employees from over 170 nationalities, we encourage applications from across the globe. Your application journey begins by applying via the Emirates Group Careers website. If you are shortlisted, you will be contacted within 6 weeks of the advert closing date. </p><br><br>Salary &amp; benefits<p>Join us in Dubai and enjoy an attractive tax-free salary and travel benefits that are exclusive to our industry, including discounts on flights and hotels stays around the world. You can find out more information about our employee benefits in the Working Here section of our website www.emirates.com/careers. Further information on what’s it like to live and work in our cosmopolitan home city, can be found in the Dubai Lifestyle section.</p><br><br><br> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><ul><li>Spearhead the end-to-end delivery of treasury data projects, ensuring alignment with strategic financial objectives and risk management frameworks.</li><li>Define project scope, objectives, and deliverables, translating complex treasury requirements into actionable data solutions.</li><li>Develop and manage detailed project plans, timelines, and budgets, proactively identifying and mitigating risks specific to treasury operations.</li><li>Lead cross-functional teams comprising treasury analysts, data scientists, IT specialists, and business stakeholders to achieve project goals.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor's or Master's degree in Finance, Economics, Data Science, or a related quantitative field.</li><li>A minimum of 7-10 years of progressive experience in project management, with a significant focus on treasury or financial data.</li><li>Proven track record of successfully delivering complex data projects within the financial services or corporate treasury sector.</li><li>PMP, PRINCE2, or Agile certifications are highly preferred to demonstrate structured project management capabilities.</li></ul><p></p></section>

Company Description This opportunity is advertised on behalf of a partner company. All applications, interviews, and subsequent hiring steps will be managed directly by the partner organization. Our partner is seeking a Junior Data Analyst / Data Scientist to join their remote team and contribute to data-driven projects across Financial Services, Retail, E-commerce, Logistics, Business Intelligence, Artificial Intelligence (AI), and Machine Learning (ML). This role is well suited to an early-career data professional who is curious about how data can be used to solve business problems, uncover trends, and support better decision-making. The successful candidate will have the opportunity to work on a variety of analytics and data science projects, ranging from business reporting and data visualization to predictive modeling and machine learning.<br>Key Responsibilities Collect, clean, transform, and analyze data from different internal and external sources Use Python, SQL, and statistical techniques to investigate business and operational questions Conduct Exploratory Data Analysis (EDA) to uncover trends, relationships, anomalies, and opportunities Build and maintain reports, dashboards, KPIs, and Business Intelligence (BI) solutions Perform descriptive and statistical analyses to support business and strategic decisions Assist in developing and evaluating Machine Learning (ML) and predictive models Contribute to customer, product, commercial, marketing, and operational analytics projects Analyze areas such as customer behavior, transactions, sales performance, product usage, and operational efficiency Support forecasting, customer segmentation, classification, and other predictive analytics initiatives Assist with A/B testing, experimentation, and hypothesis-driven analysis Develop clear and meaningful data visualizations to communicate analytical findings Present insights and recommendations to both technical and non-technical stakeholders Contribute to AI, automation, and other data-driven initiatives Help identify opportunities to improve data quality, reporting processes, and analytical workflows Work collaboratively with teams across Product, Engineering, Finance, Marketing, Operations, and Business Translate business requirements and questions into structured analytical approaches<br>Requirements Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Economics, Engineering, Business Analytics, Information Systems, or another quantitative discipline Solid foundational knowledge of Python and SQLGood understanding of statistics, probability, and fundamental data analysis concepts Hands-on experience working with datasets and conducting Exploratory Data Analysis (EDA) Familiarity with Python data and Machine Learning libraries such as pandas, Num Py, and scikit-learn Experience with or understanding of dashboarding and reporting tools such as Power BI, Tableau, Looker, or similar platforms Strong analytical thinking and problem-solving abilities Ability to interpret data and communicate insights in a clear and structured manner Strong written and spoken English Comfortable working both independently and as part of a distributed, remote team<br>Preferred Qualifications Internship, academic, bootcamp, freelance, or personal project experience in Data Analytics, Data Science, Business Intelligence, or Machine Learning Exposure to data-driven industries such as Financial Services, Fin Tech, Retail, E-commerce, Logistics, or Technology Familiarity with Git and Git Hub Experience working with Jupyter Notebook Basic exposure to cloud environments such as AWS, Microsoft Azure, or Google Cloud Platform (GCP) Familiarity with modern data warehouses and platforms including Big Query, Snowflake, Redshift, or Databricks Experience using Excel or BI and visualization tools such as Power BI, Tableau, or Looker Exposure to predictive modeling, Machine Learning, or statistical modeling techniques Familiarity with Generative AI, Large Language Models (LLMs), or AI-based applications Portfolio demonstrating practical data work, such as Git Hub repositories, Kaggle notebooks, university assignments, bootcamp projects, or personal Data Analytics / Data Science projects

Build and operate privacy and data protection controls Requires an IT, information security or technical data governance background<br><br>About Our Client<br><br>A growing firm in the Middle East.<br><br>Job Description<br><br>Build and operate the privacy and data governance programme, including its policies, standards, procedures, controls and operating cadence. Own data mapping and Records of Processing Activities across cloud services, data platforms and AI/ML workflows. Lead Data Protection Impact Assessments and data related risk assessments for products and AI use cases. Work directly with Tech and Information Security teams to embed privacy-by-design within technology architecture, SDLC/CI-CD and the data lifecycle. Implement practical controls covering data minimisation, access, logging, classification, retention, deletion and transparency. Establish and manage data subject rights operations, including identity verification, fulfilment, audit trails and service levels. Support privacy incident response and breach notification activities alongside Information Security, Legal and Operations. Manage privacy controls for technology vendors, cloud providers and AI partners, including due diligence and ongoing monitoring. Maintain programme metrics and evidence to support audits, regulatory readiness, security questionnaires and institutional-client due diligence.<br><br>The Successful Applicant<br><br>At least 7 years' experience in data protection, technical privacy, information security or data governance within a technology led or Fintech environment. An IT, cybersecurity, information security or technical data governance background is essential. Hands-on experience designing and operating privacy and data protection controls across cloud services, applications, APIs or data platforms. Experience delivering data mapping, RoPA, DPIAs, data subject rights processes, data classification, retention controls and privacy incident support. Demonstrable experience working directly implementing controls. Practical experience of privacy-by-design within cloud-native architectures and software or product development processes. Tangible experience addressing data protection and governance risks associated with AI/ML workflows, AI-enabled products or third-party AI services. Experience in fintech, financial services, payments or another regulated or high-trust environment is preferred. Privacy qualifications such as CIPP/E, CIPP/US or CIPM are advantageous but will not replace the required technical background.<br><br>What's on Offer<br><br>A permanent, hands on role with responsibility for building the data protection and privacy control environment. Direct involvement with leadership<br><br>Contact: Ruwise Sheriff<br><br>Quote job ref: JN-092026-7094653

Role: Data Privacy Analyst (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $31 - $60/hour<br>Role Overview:A leading organization is seeking a Data Privacy Analyst to review and improve data privacy practices, policies, and procedures. The role involves ensuring compliance with privacy regulations and protecting organizational data assets. This position requires collaboration with cross-functional teams to identify risks and implement mitigation strategies.<br>Key Responsibilities:• Conduct data protection impact assessments and audits to evaluate compliance with privacy laws and internal policies.• Monitor and analyze changes in privacy regulations to recommend updates to policies and practices.• Develop and maintain data privacy documentation, including privacy notices, consent forms, and records of processing activities.• Collaborate with IT and security teams to assess data handling processes and recommend technical safeguards.• Report findings and recommendations to stakeholders and provide guidance on privacy best practices.<br>Required Skills & Qualifications:• Experience in data privacy compliance, including GDPR, CCPA, or other regional regulations.• Proficiency in conducting risk assessments and audits related to data protection.• Strong understanding of data privacy frameworks, policies, and governance structures.• Ability to analyze complex regulatory requirements and translate them into actionable policies.• Familiarity with data security principles and technical controls for protecting personal data.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development of robust data privacy frameworks. The position involves direct impact on safeguarding sensitive information and ensuring regulatory adherence.<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!

<p>Data Entry Clerk</p> <p>A reputable company is seeking a dedicated Data Entry Clerk to manage data processing tasks, maintain accurate records, and support daily office operations. Freshers with basic computer skills and attention to detail are welcome to apply.</p> <p>Responsibilities</p> <p>Enter and update information into company systems<br /> Verify data accuracy and correct errors<br /> Maintain organized digital and physical records<br /> Prepare reports and spreadsheets as required<br /> Handle confidential information professionally<br /> Support administrative and back-office activities</p> <p>Benefits</p> <p>Visa provided as per UAE Labor Law<br /> Medical insurance<br /> Career growth opportunities</p> <p>Location: Dubai, UAE<br /> Job Type: Full-Time</p> <p>Apply Now</p> <p>Email: alfayaznaz@gmail.com</p> <p>Only shortlisted candidates will be contacted.</p>

<p>Data Entry Clerk</p> <p>A reputable company is seeking a dedicated Data Entry Clerk to manage data processing tasks, maintain accurate records, and support daily office operations. Freshers with basic computer skills and attention to detail are welcome to apply.</p> <p>Responsibilities</p> <p>Enter and update information into company systems<br /> Verify data accuracy and correct errors<br /> Maintain organized digital and physical records<br /> Prepare reports and spreadsheets as required<br /> Handle confidential information professionally<br /> Support administrative and back-office activities</p> <p>Benefits</p> <p>Visa provided as per UAE Labor Law<br /> Medical insurance<br /> Career growth opportunities</p> <p>Location: Dubai, UAE<br /> Job Type: Full-Time</p> <p>Apply Now</p> <p>Email: alfayaznaz@gmail.com</p> <p>Only shortlisted candidates will be contacted.</p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><ol><li><p>Data Analysis &amp; Insight Generation</p></li></ol><p>Analyze large datasets to identify trends and generate actionable insights for decision making and operational efficiency.</p><p>Communicate findings through visualizations and clear storytelling.</p><ol><li><p>Machine Learning &amp; Model Development</p></li></ol><p>Develop and deploy machine learning models for use cases such as forecasting, optimization, and risk analysis.</p><p>Apply statistical and machine learning techniques to solve complex business problems.</p><ol><li><p>Data Preparation &amp; Feature Engineering</p></li></ol><p>Prepare data through extraction, cleaning, preprocessing, and feature engineering.</p><p>Ensure data quality and integrity for reliable model performance.</p><ol><li><p>Model Deployment &amp; Monitoring</p></li></ol><p>Deploy models into production and monitor performance for drift or degradation.</p><p>Continuously improve models based on feedback and new data.</p><ol><li><p>Collaboration &amp; Stakeholder Engagement</p></li></ol><p>Work with business teams to translate requirements into analytical solutions.</p><p>Collaborate with Data Engineering and Data Governance teams for end to end delivery.</p><ol><li><p>AI Governance</p></li></ol><p>Ensure all AI and machine learning activities comply with governance, privacy, and regulatory requirements by following defined lifecycle processes, risk classification, and using approved governed data.</p><p>Implement responsible and secure AI practices, including bias and fairness checks, explainability, model documentation, auditability, and collaboration with Cybersecurity and Data Governance teams.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><p>Minimum Qualifications</p><ul><li><p>Bachelor's or Master's Degree in Data Science, Artificial Intelligence (AI), Statistics, Computer Science, or a related field.</p></li></ul><p>Minimum Experience</p><ul><li><p>Minimum <strong>5+ years</strong> of experience in Data Science, Machine Learning, Artificial Intelligence, or Advanced Analytics.</p></li><li><p>Proven experience developing, deploying, and maintaining machine learning models in production environments.</p></li><li><p>Experience working with large-scale datasets and cloud-based analytics platforms is preferred.</p></li></ul><p>Skills &amp; Competencies</p><ul><li><p>Strong programming skills in <strong>Python</strong> (preferred) or <strong>R</strong>.</p></li><li><p>Experience with large-scale data processing using <strong>SQL</strong>, <strong>Spark</strong>, or similar technologies.</p></li><li><p>Hands-on experience with machine learning frameworks such as <strong>TensorFlow</strong>, <strong>PyTorch</strong>, and <strong>Scikit-learn</strong>.</p></li><li><p>Experience in end-to-end machine learning model development, validation, deployment, and optimization.</p></li><li><p>Knowledge of <strong>MLOps</strong> practices, including CI/CD pipelines, model monitoring, version control, and automated retraining.</p></li><li><p>Understanding of data engineering concepts, data pipelines, and cloud data platforms, preferably <strong>Microsoft Azure</strong> and <strong>Databricks</strong>.</p></li><li><p>Strong knowledge of statistical analysis, predictive modeling, feature engineering, and data preprocessing techniques.</p></li><li><p>Experience using data visualization tools such as <strong>Power BI</strong> and <strong>Tableau</strong> to communicate analytical insights.</p></li><li><p>Understanding of data governance, data quality management, privacy regulations, and AI governance principles.</p></li><li><p>Strong analytical thinking, problem-solving, and critical reasoning skills.</p></li><li><p>Excellent communication, presentation, and stakeholder management skills.</p></li><li><p>Ability to work collaboratively with cross-functional teams in an agile environment.</p></li><li><p>Strong organizational skills with the ability to manage multiple priorities and deliver high-quality outcomes within deadlines.</p></li></ul></li></ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>We are looking for a Business / Data Analyst who is responsible for building a clear, end-to-end understanding of how Temenos T24 core banking data is currently consumed for reporting and analytics, and for translating that understanding into the business and data requirements that will drive the Temenos Insight data migration and modernization programme.<br> The analyst conducts discovery with business, finance, regulatory-reporting, and channel stakeholders to inventory every existing report, dashboard, extract, and use case, map each back to its underlying T24 data and transformation logic, and define the reporting-continuity requirements needed so that outputs from the new solution can be validated against the legacy platform.<br> The role establishes the prioritization and requirements baseline used by architects and the Senior Data Engineer to design and sequence the migration.<br> (Note: this role supports the Temenos Insight migration; the Azure Databricks data lake is a separate initiative.<br>) Key Roles &amp; Responsibilities Conduct discovery workshops with business and technical stakeholders to gather reporting and analytics requirements.<br> Identify and document all existing reporting, analytics, and regulatory reporting use cases.<br> Capture business users, data consumers, owners, and downstream system dependencies.<br> Document business objectives, reporting requirements, and success criteria.<br> Inventory operational reports, dashboards, regulatory reports, and analytical solutions.<br> Map reports and dashboards to T24/Temenos Insight source data, transformations, and business logic.<br> Analyze multi-value fields, business rules, and data consumption patterns.<br> Identify duplicate reports and recommend consolidation opportunities.<br> Gather detailed data, metrics, dimensions, and historical retention requirements.<br> Define reporting frequency, latency, SLA, and compliance requirements.<br> Document dependencies between business processes, reports, and data assets.<br> Assess current data quality, availability, performance, and reporting challenges.<br> Support migration planning, reporting continuity, reconciliation, and validation activities.<br> Recommend migration priorities for reports and data domains.<br> Capture future reporting and analytics requirements for modernization initiatives.<br> Maintain reporting inventories, use-case documentation, and governance artefacts.<br> Produce functional documentation for architecture, engineering, testing, and UAT teams.<br> Support User Acceptance Testing (UAT) by validating migrated reports against the legacy Temenos platform.<br> 3+ years of experience as a Business Analyst, Data Analyst, or Technical Business Analyst, ideally in banking or financial services.<br> Strong experience gathering and documenting business and data requirements and producing source-to-report mappings.<br> Hands-on exposure to SQL and BI / reporting tools (Power BI preferred).<br> Understanding of data warehousing, ETL, and analytics concepts.<br> Experience supporting data migration or reporting-modernization projects.<br> Exposure to core banking (Temenos T24) and / or central-bank regulatory reporting is highly desirable.<br></span> </div>