Data Engineer

Capgemini Engineering; Porto; Híbrido; EUR 55 000 - 85 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Health and life insurance

Hybrid work

Referral program

Career growth programs

Training and certifications

International projects

Great office locations

Resumo da oferta

Capgemini Engineering is seeking a data engineering lead to drive the implementation backlog, optimise data pipelines on cloud platforms, and prepare solutions for industrialisation. The role requires coordinating with the Data Platform team, translating architecture decisions into concrete work packages, and coaching stakeholders for successful knowledge transfer.

The position involves a hybrid advisory + delivery approach with on-site presence in Geneva and opportunities to engage in

Qualificações

• Experience in data engineering on cloud platforms, preferably AWS.
• Experience in data pipeline implementation and optimisation.
• Understanding of data platform architecture to translate decisions into implementable work packages.
• Experience supporting migration-related implementations within a cloud migration strategy.
• Familiarity with lakehouse/medallion architecture built on Apache Iceberg and S3.
• Ability to contribute to standards, blueprints, and implementation sequencing.
• Client- and business-oriented with strong planning and organisation.
• Rigorous, process-focused with excellent communication.
• Willingness to operate in a hybrid advisory + delivery model with on-site Geneva.

Responsabilidades

• Lead the implementation backlog and coordinate day-to-day engineering activities to stabilize the pilot components.
• Deliver hands-on completion and optimisation of data pipelines, translating architecture decisions into implementable work packages.
• Prepare the solution for industrialisation, reducing complexity and minimising duplicated processing.
• Coordinate with the internal Data Platform team and cloud orchestration to ensure practical integration.
• Coach internal stakeholders and provide technical handover and operational knowledge transfer.
• A delivery execution plan supporting pilot finalisation against the milestones.

Conhecimentos

Data engineering

Cloud data platforms

Data pipelines

Architecture translation

Cloud migration

Lakehouse architecture

Apache Iceberg

S3 tables

Stakeholder coaching

Hybrid delivery

Ferramentas

Apache Iceberg

S3

Descrição da oferta de emprego

At 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

• Lead the implementation backlog and coordinate day-to-day engineering activities to complete and stabilise the in-scope pilot components.
• Deliver hands-on completion and optimisation of data pipelines, translating architecture decisions into implementable work packages.
• Prepare the solution for industrialisation, reducing complexity and minimising duplicated processing (“double run”).
• Coordinate closely with the internal Data Platform team and cloud orchestration to ensure practical integration and adoption.
• Coach internal stakeholders and provide technical handover and operational knowledge transfer, which is a mandatory outcome of the workstream.
• A delivery execution plan supporting pilot finalisation against the agreed milestone.
• Hands-on completion and optimisation of the in-scope 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, ideally on AWS.
• Strong experience in data pipeline implementation and optimisation.
• A good understanding of data platform architecture, 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: lakehouse / medallion architecture built on Apache 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.
• Able to operate in a hybrid advisory + delivery model, with regular on-site presence in Geneva.

What You´ll Love About Working Here

• Join 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 Capgemini

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.