Data Engineer

Capgemini Engineering; Lisboa; On-site; EUR 50,000 - 75,000; Full time

Benefits offered by this job

Hybrid work environment

Career growth opportunities

Health insurance

Job summary

Capgemini Engineering seeks a data engineering specialist to lead and implement cloud-based data pipelines and lakehouse architectures, with emphasis on AWS and S3-backed data platforms.

In a hybrid advisory + delivery model, you will coordinate with internal teams to align architecture decisions with practical, scalable implementations, and coach stakeholders through knowledge transfer and operations readiness.

Qualifications

• Experience in delivering data engineering implementations in cloud-based data platforms.
• Experience with data pipelines and optimisation under cloud environments.
• Ability to translate architecture decisions into actionable work packages.
• Experience supporting migration-related implementations within cloud strategies.

Responsibilities

• 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.
• Coordinate with the internal Data Platform team and cloud orchestration for practical integration and adoption.
• Coach internal stakeholders and provide technical handover and knowledge transfer.
• Develop a delivery execution plan to support pilot finalisation against milestones.
• Carry out hands-on completion and optimisation of in-scope data pipelines.
• Contribute to target architecture, technical standards, and implementation sequencing.

Skills

Data engineering

AWS

Data pipelines

Cloud migration

Lakehouse architecture

Apache Iceberg

S3

Hybrid advisory

Technical enablement

Stakeholder coaching

Tools

Apache Iceberg

S3

Job description

Job Description

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.

Job Description

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.