Data Entry Jobs in UAE

Role: Data Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Part-Time Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking a SWE Bench – Data Engineer/Data Scientist to work on a part-time basis. This role involves hands-on work with production-like datasets, data pipelines, and data science tasks to help evaluate and improve the performance of advanced AI systems. The ideal candidate has strong foundations in data engineering and data science, with the ability to work across data preparation, analysis, and model-related workflows in real-world codebases.<br>Key Responsibilities:• Work with structured and unstructured datasets to support SWE bench-style evaluation tasks• Design, build, and validate data pipelines used in benchmarking and evaluation workflows• Perform data processing, analysis, feature preparation, and validation for data science use cases• Write, run, and modify Python code to process data and support experiments locally• Evaluate data quality, transformations, and outputs for correctness and reproducibility<br>Required Skills & Qualifications:• Minimum 3+ years of overall experience as a data engineer, data scientist, or software engineer (data-focused)• Strong proficiency in Python for data engineering and data science workflows• Demonstrated experience with data processing, analysis, and model-related workflows• Ability to design, build, and validate data pipelines for benchmarking and evaluation workflows• Experience with code reviews to ensure high standards of code quality and maintainability<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Research Services industry, contributing to the evaluation and improvement of advanced AI systems. Collaboration with researchers and engineers will focus on designing real-world data tasks for AI benchmarking.<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!

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p> The Internal Control – Data Officer supports the monitoring, control, and governance of business data </p><p>managed under the direction of the Business Data Director.</p><p>&nbsp;</p><p>The role is responsible for monitoring transactional data, master data, business data initiatives, </p><p>control activities, and corrective actions. The position will initially focus on Supply Chain Management functions, including procurement, inventory, warehouse, production, sales-related data, and other processes classified as Business Data Managed. The scope may later expand to other departments.</p><p>&nbsp;</p><p>The officer will act as a liaison between the Business Data Director and relevant departments for </p><p>master-data coordination, project tracking, stakeholder follow-up, reporting, and business data control activities. The role does not have authority to approve master data. All final approvals remain with the Business Data Director.</p><p>&nbsp;</p><p>The position also supports random audits, document verification, data-quality reviews, report </p><p>preparation, and report automation. Periodic travel to Libya will be required to conduct on-ground audits and physical document checks.</p><p> </p> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><p>Key Responsibilities:</p><p>✅ Monitor transactional and master data to ensure accuracy, completeness, and compliance.</p><p> ✅ Identify data exceptions, inconsistencies, duplicate records, and unusual transactions.</p><p> ✅ Prepare exception reports, dashboards, control trackers, and audit documentation.</p><p> ✅ Coordinate with stakeholders on data-related initiatives, projects, and corrective actions.</p><p> ✅ Support business data governance and master data management processes.</p><p> ✅ Conduct audits, document verification, and data quality reviews.</p><p> ✅ Assist in report automation and continuous improvement initiatives.</p><p> ✅ Participate in periodic on-ground audits and document verification activities in Libya.</p><p><br></p><p>Requirements:</p><p>✔ Bachelor's Degree in Business, Accounting, Supply Chain, Information Systems, Data Analytics, Engineering, or a related field.</p><p> ✔ 1–3 years of experience in ERP reporting, data analysis, supply chain operations, audit support, project coordination, or business reporting.</p><p> ✔ Strong Microsoft Excel and Power Query skills.</p><p> ✔ Understanding of ERP systems, master data, and transaction flows.</p><p> ✔ Excellent analytical and problem-solving skills.</p><p> ✔ English proficiency is mandatory; Arabic is preferred.</p><p> ✔ Valid passport and willingness to travel periodically to Libya.</p><p><br></p><p>Preferred Qualifications:</p><p>➕ ERP experience.</p><p>➕ Supply Chain, Procurement, Warehouse, Inventory, or Production Operations exposure.</p><p>➕ Power BI knowledge.</p><p>➕ Project Management or PMP-related knowledge.</p><p>➕ SQL knowledge is a plus.</p></div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><ul><li><p>· Assist in implementing Bank's policies and procedures in accordance with data protection laws and regulations (like CBUAE Consumer Data Protection, UAE Privacy Laws and applicable global data protection requirements) and advising the business on data protection and privacy matters. · Leading as required and maintaining cross-functional working groups to coordinate data protection efforts, including current projects and initiatives and regulatory awareness across the Bank. · Executing data protection and privacy monitoring and compliance testing reviews. · Evaluate the existing data protection framework and identify areas of non or partial compliance and rectify any issues. · Maintain an inventory of all personal data stored and data processing activities, including how and why the company collects, shares and uses personal data. · Work with the Contracts, Vendor Management and Compliance/Business departments to ensure that third-party suppliers contracts and operating-level agreements meet privacy requirements. · To support and promote a culture of awareness of data security / data protection throughout the bank. · Hold training with staff members across different business units who are involved in data handling or processing. · Work with and manage external vendors / auditors during assessments.</p></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><p>· An Engineering Degree, with 5+ Years experience in local / international Data Protection in BFSI. · Hands on experience in implementing data protection regulations. · Expertise in data protection laws and regulations (like CBUAE Consumer Data Protection, UAE Privacy Laws and applicable global data protection requirements). · Certification related to CIPP/E, CIPM, CIPT, CDPO, etc are preferred. · Strong knowledge of information Security, Data Protection and IT Systems. </p></li></ul><p></p></section>

We are seeking a Data Quality Lead for a 12 month contract to provide strategic and functional leadership over data quality, governance, and analytics assurance across enterprise-scale reporting and decision-support platforms. The role ensures that KPIs, metrics, and analytical outputs are accurate, consistent, and aligned across multiple systems, dashboards, and departments. Acting as the key authority for data validation, the Data Quality Lead bridges business expectations with technical implementation, ensuring that data definitions, business rules, and analytical logic are correctly applied and consistently reflected across all outputs. This role plays a critical part in maintaining data trustworthiness, supporting executive decision-making, and strengthening enterprise-wide data governance within a complex, multi-stakeholder environment, including government and large-scale analytics ecosystems.<br>Key Requirements:• 8–10+ years of experience in data quality, analytics assurance, or data governance roles• Strong expertise in validating KPIs, metrics, and analytical outputs across enterprise platforms• Solid understanding of data models, ETL processes, and end-to-end analytics pipelines• Ability to review SQL, transformation logic, and data validation frameworks• Experience in dashboard and reporting quality assurance across multiple systems• Strong stakeholder management skills, including engagement with senior leadership and business teams• Good understanding of data governance, metadata management, and ontology concepts• Strong analytical thinking, leadership, decision-making, and communication skills• High accountability for data accuracy, consistency, and trust<br><br>Preferred Requirements:• Experience in government or large public-sector data environments• Exposure to enterprise BI tools and large-scale analytics ecosystems• Experience leading or contributing to enterprise data governance frameworks• Experience mentoring or leading data quality or analytics assurance teams• Familiarity with master data management (MDM) and reference data practices<br>If you are interested apply now!

Job Purpose:Own Americana's enterprise data platform, business intelligence and data governance end-to-end spanning data lake, ETL/ELT, semantic layer, Power BI-as-a-service and the underlying infrastructure for AI initiatives across the organization. Enable readiness to make trusted, timely, AI-ready decisions across 13 markets and 2,749+ restaurants. Deliver the "one source of truth" data foundation that powers the AI Roadmap 2026-27, closes open Internal Audit commitments on Enterprise Data Catalog and metadata management, and unlocks productivity and revenue upside identified in the AI & Analytics Center of Excellence. <br>Key Responsibilities:Own and modernize Americana's enterprise data platform on Azure — data lake, warehouse, pipelines and source systems (POS, BOH, Oracle Fusion ERP, VOC, CRM, Marketing, Events, Web) delivering ≥ 99.5% pipeline reliability and ≤ 1-day exec data freshness to enable trusted decision-making across 13 markets. Govern and enhance the enterprise semantic layer and metric store to ensure single, consistent KPI definitions across FP&A, Ops, Marketing, HR and Customer. Run Power BI as an enterprise product — SLAs, adoption, cost and disciplined retirement of low-value reports — reducing the ad-hoc reporting backlogs and improving self-service maturity. Deliver the Enterprise Data Catalog (EDC) and comprehensive metadata management, closing Internal Audit Observations and operationalizing the Data Management SOP through Data Owner accountability, KPI validity reviews and access recertification. Provide the data foundation (pipeline and architecture) for the organization’s AI initiatives including semantic search, RAG, observability and human-in-the-loop guardrails. Lead a federated team across UAE (business-facing) and Mohali (delivery bench) — building capability across data engineering, BI development, platform engineering and data governance — while driving offshoring and cost efficiency in line with FY26 org design. Own the platform TCO (Azure, Power BI, LLM tokens, third-party tools) with monthly ROI reporting. Serving key internal customers — business users needing dashboards and self-service, and the Advanced Analytics team needing production-grade ML/Gen AI infrastructure. Player-coach leadership — comfortable in both strategy conversations and code reviews. Builds a high-performing federated data team, influences business stakeholders without direct authority, and champions automation, self-service and platform thinking over ticket-driven delivery. Demonstrated ability to say 'no' to low-ROI reporting and to prioritise ruthlessly. Contributor and co-owner of enterprise data policies — Data Management SOP, data governance framework, data quality standards, semantic layer standards and Power BI publishing standards. Implements existing IT Security, privacy and data residency policies in partnership with IT Security and Internal Audit. <br>Qualification: Bachelor's degree in Computer Science, Engineering, Statistics or related discipline (Master's preferred). Preferred certifications: Azure Data Engineer Associate, DAMA CDMP, Microsoft Fabric Analytics Engineer or similar others. <br>Experience: 10–12 years of progressive experience in data engineering, BI and data platform roles, with the last 3+ years running a cloud-native lakehouse (Azure Synapse / Fabric / Databricks / Snowflake). Proven ownership of an enterprise Power BI deployment at scale (semantic modelling, DAX, workspace governance, capacity management). Hands-on delivery of data governance programs — Enterprise Data Catalog, metadata management, data quality frameworks (Purview / Collibra / Alation). Track record of building and leading federated / distributed teams across geographies. Prior exposure to QSR / Retail / CPG data landscapes. <br>Job Specific Skills: Strong Azure data stack: Data Factory, Synapse / Fabric, Data Lake, SQL, Databricks. Semantic layer tooling (SSAS Tabular / Fabric / dbt semantic). Python + SQL fluency; ability to code-review pipelines and semantic models. MLOps fundamentals: Azure ML, MLflow, feature stores. Working knowledge of LLM/Gen AI patterns in a data context — RAG, semantic search, agent orchestration (Lang Chain / Semantic Kernel), prompt evaluation. Familiarity with DAMA-DMBOK and data privacy / residency requirements (UAE / KSA). <br>Competencies: Strategic Thinking: Links data platform investments to business ROI and AI roadmap outcomes. Influence & Communication: Explains complex data and AI concepts to executive audiences and Board forums. Ownership & Accountability: Owns SLAs, TCO and audit closure — bias for closure over commentary. Collaboration: Strong partnership with Analytics, business functions, IT Security and external partners. Data & Platform Expertise: Deep hands-on skills in modern data stack, semantic layer, MLOps and Gen AI patterns. Governance Mindset: Institutionalises data quality, metadata, catalog and access recertification as recurring disciplines. Talent Development: Builds a high-performing federated team across UAE and Mohali.

Deep Light AI is a specialist AI and data consultancy with extensive experience implementing intelligent enterprise systems across multiple industries, with particular depth in financial services and banking. Our team combines deep expertise in data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration with a practical understanding of complex business operations.<br><br>The Data Architect leads the design and execution of robust, enterprise-grade data architectures that support AI initiatives, advanced analytics, and business intelligence efforts. Operating within client environments with a strong focus on financial services, banking, and treasury domain frameworks, this role translates complex business and regulatory requirements into scalable, secure, and performant data structures. The Data Architect collaborates closely with data engineers, data scientists, and business stakeholders to ensure that foundational data systems align directly with strategic corporate goals.<br><br>Key Responsibilities<br><br>Architectural Design & Treasury Data Modeling<br><br>Lead the design and implementation of scalable data architectures, enterprise data lakes, and modern warehouse frameworks that address current and future analytical needs Develop and maintain conceptual, logical, and physical data models (relational, dimensional, NoSQL) to support complex analytics, reporting, and specialized treasury operations (e.g., cash management, liquidity risk, asset-liability management) Design seamless data flows and integration strategies across core banking, treasury management systems (TMS), external market feeds, and downstream AI/ML pipelines<br><br>Standards, Governance & Security<br><br>Establish data governance, data lineage, quality control standards, and design guidelines that enforce data integrity, security, and auditability Ensure all data architectures adhere to local and international financial regulatory requirements, data privacy mandates, encryption protocols, and strict access controls<br><br>Collaboration, Optimization & Innovation<br><br>Work closely with data engineers, data analysts, AI specialists, and treasury stakeholders to gather requirements and convert business goals into technical execution Monitor and optimize database performance, ensuring efficient query execution, low-latency access, partitioning, and indexing strategies across cloud and on-premise platforms Create and maintain comprehensive documentation covering data models, system topologies, data dictionaries, and architectural guidelines accessible to all organizational levels Evaluate emerging technologies, cloud capabilities, and data tools to provide data-driven recommendations that elevate the firm's data and AI capabilities<br><br>Requirements<br><br>We need you to have:<br><br>Strong mastery of data modeling methodologies (relational, dimensional, star/snowflake schemas, Data Vault, NoSQL) and database engines (e.g., Postgre SQL, Oracle, SQL Server, Mongo DB) Deep functional knowledge of modern cloud-based data solutions (Azure, AWS, or GCP), cloud data warehouses (e.g., Snowflake, Big Query, Synapse), and advanced ETL/ELT orchestration patterns Solid understanding of data governance principles, metadata management, enterprise data security, and compliance frameworks applicable to financial systems Excellent communication skills, with a proven ability to explain complex technical designs, data flows, and trade-offs to non-technical stakeholders and executive leadership Outstanding analytical skills and a structured approach to resolving complex architectural bottlenecks in fast-paced, multidisciplinary team environments Direct experience working with financial services, corporate treasury operations, banking systems, or financial risk platforms, understanding core treasury concepts such as liquidity, cash positioning, and financial messaging standards Proven experience operating as a Data Architect or Principal Data Engineer, with a verifiable portfolio of designing and implementing complex, scalable enterprise data architectures Demonstrated background in designing enterprise-grade data pipelines, integrating disparate real-time and batch data sources into unified analytics architectures Bachelor's degree in Computer Science, Software Engineering, Information Systems, Data Engineering, or a related quantitative discipline (or equivalent practical experience)<br><br>We'd also like you to have:<br><br>Direct hands-on experience integrating major Treasury Management Systems (e.g., FIS Integrity, Murex, Kyriba, SAP Treasury) or financial messaging protocols (e.g., SWIFT, ISO 20022) Familiarity with data preparation requirements for machine learning models, feature stores, and vector database structures for AI application consumption Formal industry credentials such as TOGAF, AWS Certified Data Analytics / Solutions Architect, Azure Solutions Architect Expert, or Certified Data Management Professional (CDMP)<br><br>Benefits<br><br>The benefits you'll enjoy as part of this role include:<br><br>Competitive salary Comprehensive personal health insurance Visa Sponsorship for the successful individual Professional development and certification support Subscription reimbursement relating to your role Opportunity to work on cutting-edge AI projects Monthly Employee Incentive program Career advancement opportunities in a rapidly growing AI company<br><br>This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.<br><br>At Deep Light AI, we recognise that diversity drives innovation. We are committed to fostering an inclusive environment where individuals with different thinking styles can thrive and contribute their unique strengths to our specialised AI and data solutions.<br><br>Our goal is to ensure our application and interview process is accessible, predictable, and fair for all candidates.<br><br>If you require any specific adjustments to the application process, or if you require any reasonable adjustments should you be successful in being processed to the interview stage, please do let us know. This information will be kept strictly confidential and will not impact hiring decisions.

Role: Data Partnerships Lead (Remote) Location: Remote (Work from Anywhere) Job Type: Full-Time Payout: $250K - $400K/yr<br>Role Overview:We are hiring for one of our clients, seeking a Data Partnerships Lead to work on a full-time basis. This role will focus on developing and managing strategic data partnerships that enhance product offerings and drive revenue growth through data monetization. The position requires a strong background in data strategy, vendor negotiations, and cross-functional collaboration with engineering, product, and legal teams.<br>Key Responsibilities:• Identify and evaluate potential data partners to expand the platform’s data ecosystem and improve model performance.• Negotiate and execute data licensing agreements, ensuring alignment with business objectives and compliance requirements.• Collaborate with engineering teams to integrate third-party data sources into existing data pipelines and platforms.• Monitor and analyze the performance of data partnerships, providing recommendations for optimization and expansion.• Work with legal and compliance teams to ensure all data partnerships adhere to regulatory standards and internal policies.<br>Required Skills & Qualifications:• Experience negotiating data licensing agreements and partnerships in technology or AI-driven industries.• Strong understanding of data monetization strategies and data infrastructure.• Proficiency in data analysis tools and methodologies to assess partnership value and impact.• Ability to manage cross-functional projects with engineering, product, and legal stakeholders.• Familiarity with GDPR, CCPA, or other data privacy regulations relevant to data partnerships.<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 a cutting-edge AI platform. The position will directly influence the company’s ability to scale its data ecosystem and enhance its competitive advantage in the market.<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: Data Partnerships Lead (Remote) Location: Remote (Work from Anywhere) Job Type: Full-Time Payout: $250K - $400K/yr<br>Role Overview:We are hiring for one of our clients, seeking a Data Partnerships Lead to work on a full-time basis. This role will focus on developing and managing strategic data partnerships that enhance product offerings and drive revenue growth through data monetization. The position requires a strong background in data strategy, vendor negotiations, and cross-functional collaboration with engineering, product, and legal teams.<br>Key Responsibilities:• Identify and evaluate potential data partners to expand the platform’s data ecosystem and improve model performance.• Negotiate and execute data licensing agreements, ensuring alignment with business objectives and compliance requirements.• Collaborate with engineering teams to integrate third-party data sources into existing data pipelines and platforms.• Monitor and analyze the performance of data partnerships, providing recommendations for optimization and expansion.• Work with legal and compliance teams to ensure all data partnerships adhere to regulatory standards and internal policies.<br>Required Skills & Qualifications:• Experience negotiating data licensing agreements and partnerships in technology or AI-driven industries.• Strong understanding of data monetization strategies and data infrastructure.• Proficiency in data analysis tools and methodologies to assess partnership value and impact.• Ability to manage cross-functional projects with engineering, product, and legal stakeholders.• Familiarity with GDPR, CCPA, or other data privacy regulations relevant to data partnerships.<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 a cutting-edge AI platform. The position will directly influence the company’s ability to scale its data ecosystem and enhance its competitive advantage in the market.<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: Data Partnerships Lead (Remote) Location: Remote (Work from Anywhere) Job Type: Full-Time Payout: $250K - $400K/yr<br>Role Overview:We are hiring for one of our clients, seeking a Data Partnerships Lead to work on a full-time basis. This role will focus on developing and managing strategic data partnerships that enhance product offerings and drive revenue growth through data monetization. The position requires a strong background in data strategy, vendor negotiations, and cross-functional collaboration with engineering, product, and legal teams.<br>Key Responsibilities:• Identify and evaluate potential data partners to expand the platform’s data ecosystem and improve model performance.• Negotiate and execute data licensing agreements, ensuring alignment with business objectives and compliance requirements.• Collaborate with engineering teams to integrate third-party data sources into existing data pipelines and platforms.• Monitor and analyze the performance of data partnerships, providing recommendations for optimization and expansion.• Work with legal and compliance teams to ensure all data partnerships adhere to regulatory standards and internal policies.<br>Required Skills & Qualifications:• Experience negotiating data licensing agreements and partnerships in technology or AI-driven industries.• Strong understanding of data monetization strategies and data infrastructure.• Proficiency in data analysis tools and methodologies to assess partnership value and impact.• Ability to manage cross-functional projects with engineering, product, and legal stakeholders.• Familiarity with GDPR, CCPA, or other data privacy regulations relevant to data partnerships.<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 a cutting-edge AI platform. The position will directly influence the company’s ability to scale its data ecosystem and enhance its competitive advantage in the market.<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: Data Partnerships Lead (Remote) Location: Remote (Work from Anywhere) Job Type: Full-Time Payout: $250K - $400K/yr<br>Role Overview:We are hiring for one of our clients, seeking a Data Partnerships Lead to work on a full-time basis. This role will focus on developing and managing strategic data partnerships that enhance product offerings and drive revenue growth through data monetization. The position requires a strong background in data strategy, vendor negotiations, and cross-functional collaboration with engineering, product, and legal teams.<br>Key Responsibilities:• Identify and evaluate potential data partners to expand the platform’s data ecosystem and improve model performance.• Negotiate and execute data licensing agreements, ensuring alignment with business objectives and compliance requirements.• Collaborate with engineering teams to integrate third-party data sources into existing data pipelines and platforms.• Monitor and analyze the performance of data partnerships, providing recommendations for optimization and expansion.• Work with legal and compliance teams to ensure all data partnerships adhere to regulatory standards and internal policies.<br>Required Skills & Qualifications:• Experience negotiating data licensing agreements and partnerships in technology or AI-driven industries.• Strong understanding of data monetization strategies and data infrastructure.• Proficiency in data analysis tools and methodologies to assess partnership value and impact.• Ability to manage cross-functional projects with engineering, product, and legal stakeholders.• Familiarity with GDPR, CCPA, or other data privacy regulations relevant to data partnerships.<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 a cutting-edge AI platform. The position will directly influence the company’s ability to scale its data ecosystem and enhance its competitive advantage in the market.<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: Data Partnerships Lead (Remote) Location: Remote (Work from Anywhere) Job Type: Full-Time Payout: $250K - $400K/yr<br>Role Overview:We are hiring for one of our clients, seeking a Data Partnerships Lead to work on a full-time basis. This role will focus on developing and managing strategic data partnerships that enhance product offerings and drive revenue growth through data monetization. The position requires a strong background in data strategy, vendor negotiations, and cross-functional collaboration with engineering, product, and legal teams.<br>Key Responsibilities:• Identify and evaluate potential data partners to expand the platform’s data ecosystem and improve model performance.• Negotiate and execute data licensing agreements, ensuring alignment with business objectives and compliance requirements.• Collaborate with engineering teams to integrate third-party data sources into existing data pipelines and platforms.• Monitor and analyze the performance of data partnerships, providing recommendations for optimization and expansion.• Work with legal and compliance teams to ensure all data partnerships adhere to regulatory standards and internal policies.<br>Required Skills & Qualifications:• Experience negotiating data licensing agreements and partnerships in technology or AI-driven industries.• Strong understanding of data monetization strategies and data infrastructure.• Proficiency in data analysis tools and methodologies to assess partnership value and impact.• Ability to manage cross-functional projects with engineering, product, and legal stakeholders.• Familiarity with GDPR, CCPA, or other data privacy regulations relevant to data partnerships.<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 a cutting-edge AI platform. The position will directly influence the company’s ability to scale its data ecosystem and enhance its competitive advantage in the market.<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: Data Partnerships Lead (Remote) Location: Remote (Work from Anywhere) Job Type: Full-Time Payout: $250K - $400K/yr<br>Role Overview:We are hiring for one of our clients, seeking a Data Partnerships Lead to work on a full-time basis. This role will focus on developing and managing strategic data partnerships that enhance product offerings and drive revenue growth through data monetization. The position requires a strong background in data strategy, vendor negotiations, and cross-functional collaboration with engineering, product, and legal teams.<br>Key Responsibilities:• Identify and evaluate potential data partners to expand the platform’s data ecosystem and improve model performance.• Negotiate and execute data licensing agreements, ensuring alignment with business objectives and compliance requirements.• Collaborate with engineering teams to integrate third-party data sources into existing data pipelines and platforms.• Monitor and analyze the performance of data partnerships, providing recommendations for optimization and expansion.• Work with legal and compliance teams to ensure all data partnerships adhere to regulatory standards and internal policies.<br>Required Skills & Qualifications:• Experience negotiating data licensing agreements and partnerships in technology or AI-driven industries.• Strong understanding of data monetization strategies and data infrastructure.• Proficiency in data analysis tools and methodologies to assess partnership value and impact.• Ability to manage cross-functional projects with engineering, product, and legal stakeholders.• Familiarity with GDPR, CCPA, or other data privacy regulations relevant to data partnerships.<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 a cutting-edge AI platform. The position will directly influence the company’s ability to scale its data ecosystem and enhance its competitive advantage in the market.<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: Data Partnerships Lead (Remote) Location: Remote (Work from Anywhere) Job Type: Full-Time Payout: $250K - $400K/yr<br>Role Overview:We are hiring for one of our clients, seeking a Data Partnerships Lead to work on a full-time basis. This role will focus on developing and managing strategic data partnerships that enhance product offerings and drive revenue growth through data monetization. The position requires a strong background in data strategy, vendor negotiations, and cross-functional collaboration with engineering, product, and legal teams.<br>Key Responsibilities:• Identify and evaluate potential data partners to expand the platform’s data ecosystem and improve model performance.• Negotiate and execute data licensing agreements, ensuring alignment with business objectives and compliance requirements.• Collaborate with engineering teams to integrate third-party data sources into existing data pipelines and platforms.• Monitor and analyze the performance of data partnerships, providing recommendations for optimization and expansion.• Work with legal and compliance teams to ensure all data partnerships adhere to regulatory standards and internal policies.<br>Required Skills & Qualifications:• Experience negotiating data licensing agreements and partnerships in technology or AI-driven industries.• Strong understanding of data monetization strategies and data infrastructure.• Proficiency in data analysis tools and methodologies to assess partnership value and impact.• Ability to manage cross-functional projects with engineering, product, and legal stakeholders.• Familiarity with GDPR, CCPA, or other data privacy regulations relevant to data partnerships.<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 a cutting-edge AI platform. The position will directly influence the company’s ability to scale its data ecosystem and enhance its competitive advantage in the market.<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: Data Partnerships Lead (Remote) Location: Remote (Work from Anywhere) Job Type: Full-Time Payout: $250K - $400K/yr<br>Role Overview:We are hiring for one of our clients, seeking a Data Partnerships Lead to work on a full-time basis. This role will focus on developing and managing strategic data partnerships that enhance product offerings and drive revenue growth through data monetization. The position requires a strong background in data strategy, vendor negotiations, and cross-functional collaboration with engineering, product, and legal teams.<br>Key Responsibilities:• Identify and evaluate potential data partners to expand the platform’s data ecosystem and improve model performance.• Negotiate and execute data licensing agreements, ensuring alignment with business objectives and compliance requirements.• Collaborate with engineering teams to integrate third-party data sources into existing data pipelines and platforms.• Monitor and analyze the performance of data partnerships, providing recommendations for optimization and expansion.• Work with legal and compliance teams to ensure all data partnerships adhere to regulatory standards and internal policies.<br>Required Skills & Qualifications:• Experience negotiating data licensing agreements and partnerships in technology or AI-driven industries.• Strong understanding of data monetization strategies and data infrastructure.• Proficiency in data analysis tools and methodologies to assess partnership value and impact.• Ability to manage cross-functional projects with engineering, product, and legal stakeholders.• Familiarity with GDPR, CCPA, or other data privacy regulations relevant to data partnerships.<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 a cutting-edge AI platform. The position will directly influence the company’s ability to scale its data ecosystem and enhance its competitive advantage in the market.<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: Data Engineer (5–7 years of experience) Key Skills: Confluent Kafka and Databricks Location/Domain Requirement: Candidates must be based in the UAE and have banking domain experience.<br><br>Role Overview We are seeking a highly skilled and motivated Data Engineer with 5–7 years of experience to design, build, and optimize scalable data pipelines and platforms. The ideal candidate will have strong expertise in SQL, Databricks, Confluent (Kafka), Azure Data Factory (ADF), and Azure Data Lake Storage (ADLS), with a solid understanding of banking domain processesand regulatory considerations. This role involves working closely with cross-functionalteams to enable data-driven decision-making across critical banking functions<br>. Key Responsibilities Design, develop, and maintain robust, scalable data pipelines using Azure Data Factory(ADF) and Databricks Implement batch and real-time data ingestion frameworks leveraging Confluent Kafka Build and optimize data models, transformations, and ETL/ELT pipelines using SQL and Spark Develop and manage data storage solutions in Azure Data Lake Storage (ADLS) Ensure high data quality, integrity, and governance standards Support data integration across systems including core banking and CRM Optimize performance of large-scale datasets Collaborate with stakeholders to translate requirements into solutions Ensure compliance with banking regulations and data privacy Troubleshoot production issu<br>es Required Skills & Experience Strong expertise in SQL (complex queries, tuning, modeling) Hands-on experience with Databricks, Spark, PySpark Experience with Confluent Kafka and event-driven architecture Experience with Azure Data Factory (ADF) Experience with Azure Data Lake Storage (ADLS) Understanding of data warehousing concepts Familiarity with CI/CD and Dev Ops for data platfo<br>rms Domain Knowledge (Preferred) Experience in banking or financial services Understanding of core banking systems Knowledge of payments, lending, wealth management Awareness of regulatory frameworks (KYC,<br>AML) Soft Skills Strong analytical and problem-solving skills Excellent communication and stakeholder engagement Ability to work in fast-paced environments Strong ownership and collaboration mi<br>ndset Qualifications Bachelor’s or Master’s degree in relevantfield Azure/Data engineering certifications pre<br>ferred

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><u>About the Role</u></p><br><p>We are seeking a highly skilled and experienced Data Lake Cloud Engineer with a proven track record of designing, implementing, and maintaining large-scale cloud-based data lake platforms. This role requires a professional who can take ownership of our current data lake ecosystem, optimize its performance, and drive future enhancements with minimal oversight. The ideal candidate will have at least 5 years of hands-on experience in building enterprise-grade data lakes, strong cloud architecture expertise, and the ability to work with cutting-edge data ingestion, processing, and analytics tools.</p><br><p><u>Key Responsibilities</u></p><br><ul><li>Take ownership of the existing enterprise data lake platform, ensuring scalability, reliability, and performance.</li><li>Lead the design, architecture, and implementation of cloud-native data lake solutions and integrations.</li><li>Manage and optimize data ingestion pipelines on Oracle OCI, using tools such as Apache NiFi, Kafka, Batch Processing of data, Data captures, and or CSV.</li><li>Design and implement pipelines for network data ingestion and file formats (e.g., Parquet, Avro, OCR, etc.), ensuring efficient storage, processing, and retrieval.</li><li>Build, configure, and tune query engines such as Trino (Presto), Spark, and Hive for efficient analytics and reporting.</li><li>Implement and maintain metadata management, data governance, and security frameworks.</li><li>Monitor and troubleshoot system performance, ensuring SLAs are met for ingestion, processing, and query workloads.</li><li>Automate platform deployment, monitoring, and maintenance with Infrastructure-as-Code (Terraform, CloudFormation, etc.).</li><li>Collaborate with data engineers, analysts, and business teams to understand data requirements and deliver solutions that maximize data accessibility and usability.</li><li>Keep the data platform up to date with the latest open-source and cloud-agnostic technologies, implementing upgrades and enhancements where needed.</li></ul> </div>

Job Title – Senior Data Migration Lead Company – TCS (MEA) Location – UAEJob type – Full time<br>About Us:Tata Consultancy Services (TCS) is an IT services, consulting and business solutions organization that has been partnering with many of the world’s largest businesses in their transformation journeys for over 50 years. TCS offers a consulting-led, cognitive powered, integrated portfolio of business, technology and engineering services and solutions. This is delivered through its unique Location Independent Agile™ delivery model, recognized as a benchmark of excellence in software development. A part of the Tata group, India's largest multinational business group, TCS has over 616,171 of the world’s best-trained consultants with 157 nationalities in 53 countries. For more information, visit www.tcs.com and follow TCS news at @TCS_News.<br>Job Description:<br>Role Summary The Senior Data Migration Lead / Manager will be responsible for end‑to‑end ownership of the data migration workstream across a complex enterprise transformation program. This role will lead strategy, governance, execution, and stakeholder engagement for data migration from multiple legacy systems into the target enterprise platform, ensuring data quality, regulatory compliance, and business continuity. The role requires strong leadership, deep hands‑on data migration expertise, and Arabic language capability to engage effectively with government business stakeholders.<br>Key Responsibilities<br>1. Data Migration Strategy & Planning Define and own the overall data migration strategy, roadmap, and execution plan aligned to program milestones. Lead data discovery, profiling, and legacy system assessment across multiple source systems. Define migration waves, cutover strategy, reconciliation approach, and rollback plans.2. Data Governance & Quality Management Establish Data Governance framework including data ownership, stewardship, quality rules, and approval workflows. Drive data quality remediation, cleansing, and enrichment in collaboration with business data owners. Define and track data quality KPIs, completeness, accuracy, and reconciliation metrics. Ensure adherence to government data policies, security, confidentiality, and data residency requirements.3. Delivery Leadership & Execution Lead and manage onsite and offshore data migration teams (ETL developers, analysts, testers). Own data mapping, transformation rules, validation, reconciliation, and sign‑off. Oversee execution of mock migrations, dress rehearsals, and production cutovers. Manage dependencies across functional, technical, integration, and testing teams.4. Business & Stakeholder Engagement (Arabic Required) Conduct data validation workshops, sign‑off sessions, and governance forums in Arabic and English. Present data migration status, risks, and decisions at programme, steering committee, and executive forums.<br>Required Skills & Experience Core Experience15+ years of overall IT experience with 10+ years in Data Migration / Data Management leadership roles. Proven experience leading large‑scale ERP data migration programs (Oracle Fusion, SAP S/4HANA, or equivalent). Strong hands‑on experience with:Data profiling & cleansing Data mapping & transformation ETL tools (Informatica / ODI / Talend or similar) Data reconciliation & validation Experience managing multi‑vendor, multi‑team delivery models. Public Sector & Regional Experience Prior experience working with Public Sector / Government entities (preferably in UAE / GCC). Strong understanding of government data governance, security, and compliance expectations. Experience working in Arabic business environments. Language Requirement (Mandatory) Arabic – Fluent (spoken and written) English – Fluent<br>Application Deadline: 30-June-2026<br>Privacy Note:https://www.tcs.com/connect-with-tcs/privacy-policy

<p>A skilled and detail-oriented Data Engineer is required to design, build, and maintain scalable data systems and pipelines. The selected candidate will support data-driven decision-making by ensuring efficient data collection, processing, and storage across various platforms.</p> <p>Key Responsibilities:</p> <p>Design, develop, and maintain data pipelines and ETL processes<br /> Collect, process, and transform large datasets from multiple sources<br /> Ensure data quality, accuracy, and security standards<br /> Work with data analysts and developers to support reporting and analytics<br /> Optimize database performance and data architecture<br /> Troubleshoot and resolve data-related issues</p> <p>Application Details: Email: hr.jamal.project.development@gmail.com</p>

<p>A skilled and detail-oriented Data Engineer is required to design, build, and maintain scalable data systems and pipelines. The selected candidate will support data-driven decision-making by ensuring efficient data collection, processing, and storage across various platforms.</p> <p>Key Responsibilities:</p> <p>Design, develop, and maintain data pipelines and ETL processes<br /> Collect, process, and transform large datasets from multiple sources<br /> Ensure data quality, accuracy, and security standards<br /> Work with data analysts and developers to support reporting and analytics<br /> Optimize database performance and data architecture<br /> Troubleshoot and resolve data-related issues</p> <p>Application Details: Email: hr.jamal.project.development@gmail.com</p>

Enterprise Data Architect – AI & Databricks We are looking for an experienced Data Architect with 10+ years of experience designing and delivering modern, enterprise-scale data platforms. The ideal candidate will have deep expertise in Databricks and cloud-native data architectures, with a proven track record of building scalable, high-performance data ecosystems. You will be responsible for designing end-to-end data platforms, including Medallion Lakehouse architectures, that support advanced analytics, machine learning, and AI-driven use cases. A strong background in AI is essential, with experience designing architectures that enable feature engineering, MLOps, and Generative AI workloads. You should be comfortable working across both architecture and engineering, translating complex business requirements into secure, scalable, and production-ready data solutions.<br><br>Key requirements 10+ years of experience in Data Architecture, Data Engineering, or related fields Proven expertise designing and implementing Databricks Lakehouse platforms, including Medallion (Bronze, Silver, Gold) architecture Strong experience with cloud-native data platforms, preferably on Microsoft Azure Hands-on experience designing data platforms that support AI, Machine Learning, and Generative AI use cases Deep understanding of data modelling, data governance, security, and enterprise-scale data platform design Experience with Delta Lake, data pipelines, ETL/ELT frameworks, and performance optimisation Ability to collaborate with engineering, analytics, and business stakeholders to deliver enterprise-wide data initiatives Excellent communication and stakeholder management skills with the ability to influence both technical and business audiences