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Full-time
Posted 24d ago
Apply by Aug 31
~40 hrs/week
Responsibilities
The Senior Data Engineer is responsible for building and operating reliable, scalable data pipelines and curated data assets for agency servicing and distribution. This includes implementing data products, ensuring data quality and security, and mentoring mid-level engineers.
Requirements
The candidate must be able to translate user stories into technical tasks and implement complex source-to-target mappings. Proficiency in engineering best practices, CI/CD deployment, and data governance standards is required.
Full job description
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
Job Description
The Senior Data Engineer will build and operate reliable data pipelines and curated data assets The role focuses on agency servicing and distribution use cases by enabling high quality governed data products across ingestion transformation validation and deployment stages working closely with Data Product Owners, Data Modelers, Business Analysts, QA, MLOps, CICD LBU technology teams and implementation partners
Key Responsibilities Data pipeline delivery Build and maintain scalable batch and near real time data pipelines from source systems into curated data layers ensuring reliability auditability and operational side. Data product implementation Implement data assets required for Agency Data Products including mapping source to target fields applying transformation logic creating reusable datasets and downstream analytics AI consumption Data quality and controls Embed data profiling validation checks reconciliation logic exception handling and monitoring for reliable data products Security privacy and compliance Apply required access controls data masking PII handling retention and governance standards in collaboration with Data Governance and Architecture teams Engineering standards Follow engineering best practices for version control modular code review automated CICD deployment readiness and production handover Squad collaboration Translate user stories and data requirements into technical and delivery tasks clarify dependencies with business technology data modelers and QA teams Defect resolution and Investigate data defects performance bottlenecks and production issues provide root cause analysis and permanent fixes Documentation Maintain technical data lineage data dictionary source mapping runbooks deployment notes and operational documentation Mentorship Guide mid-level engineers on coding standards review pull requests and unblock technical issues within the squad
Job Description - Grade Specific
1 Data ingestion and transformation pipelines aligned to approved data product backlog Enable Agency data products for servicing distribution use cases 2 Source to target mapping transformation rules and data lineage documentation Provide traceability from source systems to curated layer and data product consumption 3 Data quality rules validation reports and reconciliation outputs Prove completeness accuracy and readiness for downstream test and adoption 4 Unit tested peer reviewed code with deployment and rollback instructions Help controlled release management and engineering quality 5 Operational runbooks monitoring approach and production handover notes Enable sustainable production operations after delivery
Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2024 global revenues of €22.1 billion. Make it real | www.capgemini.com
Related keywords
Data PipelinesData AssetsData GovernanceData ModelingMLOpsCI/CDData ProfilingData MaskingPIIVersion ControlData LineageData DictionaryRoot Cause AnalysisBatch ProcessingReal-time DataAgency Servicing
Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2025 global revenues of €22.5 billion.
Make it real | www.capgemini.com
Offices: Place de l'Étoile, 11 rue de Tilsitt, Paris, France 75017, FR · Hullenbergweg 294, Amsterdam, North Holland 1101 BV, NL · 1601 Bryan St, Dallas, TX 75201, US · 595 Collins St, Melbourne, VIC 3000, AU · Fauststraat 3, Apeldoorn, Gelderland 7323 BA, NL
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How many Data & Analytics jobs are open in Kuala Lumpur, Malaysia right now?
There are currently 1,439 open data & analytics positions in Kuala Lumpur, Malaysia listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Data & Analytics roles in Kuala Lumpur, Malaysia?
Companies currently hiring include PETRONAS, AIA, Prudential plc, PwC, Accenture, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Data & Analytics jobs in Kuala Lumpur, Malaysia?
Yes — 394 of the 1439 open data & analytics positions offer remote or hybrid work (40 remote, 354 hybrid).
How do I apply for Data & Analytics jobs in Kuala Lumpur, Malaysia?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.