Data Foundation Expert

Capgemini; Lisboa; Híbrido; EUR 60 000 - 80 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Health and life insurance

Referral program

Hybrid work

Training & certifications

International projects

Resumo da oferta

Capgemini Engineering is seeking an experienced Senior Data Engineer to validate data architectures and drive delivery across pilot components. You will optimize data warehouses and pipelines on AWS lakehouse platforms built with Apache Iceberg, translating architectural decisions into actionable work packages.

Join a hybrid team with on-site presence and strong collaboration with the Data Platform group, coaching stakeholders and delivering scalable solutions across a global client base.

Qualificações

• Strong experience in data engineering within cloud-based data platforms on AWS.
• Expertise in AWS lakehouse architecture, specifically platforms built on Apache Iceberg.
• Strong experience in data pipeline implementation and optimisation, including data warehouse workloads.
• Solid data architecture background enabling you to translate architecture decisions into implementable work packages.

Responsabilidades

• Validate the target data architecture and provide technical oversight across delivery activities.
• Reduce complexity, limit duplicated processing (“double run”) and propose a scalable, industrialisable architecture.
• Lead the implementation backlog and coordinate engineering activities to complete and stabilise the in-scope pilot components.
• Deliver hands-on completion and optimisation of the data warehouse and data pipelines.
• Coordinate closely with the internal Data Platform team and cloud orchestration to ensure practical integration and adoption.

Conhecimentos

Data engineering

Cloud data platforms

AWS

Iceberg

Data pipelines

Data warehouse

Architecture translation

Stakeholder coaching

Hybrid advisory

Ferramentas

Apache Iceberg

Amazon S3

Descrição da oferta de emprego

Job DescriptionAt Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.YOUR ROLE• Validate the target data architecture and provide technical oversight across the delivery activities.• Reduce complexity, limit duplicated processing (“double run”) and propose a scalable, industrialisable architecture.• Lead the implementation backlog and coordinate engineering activities to complete and stabilise the in-scope pilot components.• Deliver hands-on completion and optimisation of the data warehouse and data pipelines.• Coordinate closely with the internal Data Platform team and cloud orchestration to ensure practical integration and adoption.• Coach and upskill internal stakeholders and provide technical handover support, as knowledge transfer is a mandatory outcome.• A delivery execution plan supporting pilot finalisation against the agreed milestone.• Expert, hands-on completion and optimisation of the data pipelines.• Implementation support for the target architecture and technical standards.• A contribution to the implementation roadmap and the sequencing of industrialisation steps.• Technical coaching, handover and operational knowledge-transfer materials.YOUR PROFILE• Strong experience in data engineering implementation within cloud-based data platforms, on AWS.• Proven expertise in AWS lakehouse architecture, specifically platforms built on Apache Iceberg.• Strong experience in data pipeline implementation and optimisation, including data warehouse workloads.• Solid data architecture background, enabling you to translate architecture decisions into implementable work packages.• Experience supporting migration-related implementation aligned to a broader cloud migration strategy.• Familiarity with the target architecture context: medallion architecture based on Iceberg and S3 tables.• The ability to contribute to standards and blueprints, implementation sequencing and the technical enablement of internal teams.• Client- and business-oriented, with strong planning and organisation skills.• Rigorous and process-focused, with excellent written and verbal communication.• Comfortable leading and upskilling others; may have Senior Data Engineers as direct reports, though this is not required.• Able to operate in a hybrid advisory + delivery model, with regular on-site presence in Geneva.WHAT YOU´LL LOVE ABOUT WORKING HEREJoin a multicultural and inclusive team environment.Enjoy a supportive atmosphere promoting work life balance.Hybrid work.Your career growth is central to our mission. Our array of career growth programs and diverse professionals are crafted to support you in exploring a world of opportunities.Access valuable training and certifications in cutting edge technologies.Engage in exciting national and international projects.Health and life insurance.Referral program with bonuses for talent recommendations.Great office locations.ABOUT CAPGEMINICapgemini 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.