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Location
Hybrid (London, United Kingdom)
Visa
Licensed UK visa sponsor
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 6, 2026. First seen by Alion on Nov 3, 2026. Capgemini scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Capgemini is a French information technology services and consulting group founded in Grenoble in 1967 by Serge Kampf, and one of the largest IT service providers in the world. It designs, builds and runs systems for large enterprises and governments across some fifty countries, with a delivery workforce concentrated in India and a European client base heavier than most of its competitors. The group is organised into Capgemini Invent for strategy and design, Capgemini Engineering for research and development services acquired with Altran, and Sogeti for local technology services, and it has reoriented its portfolio around cloud migration, data platforms and generative AI.

About the Job you are considering:

We are looking for a Google Cloud Platform (GCP) Data Engineer who will lead the engineering delivery and technical direction for a scalable multitenant data integration platform on Google Cloud Platform GCP The platform uses Managed Airflow Composer to orchestrate ETL pipelines and enables reliable movement of data from source systems through the platform into downstream vendor systems Youll guide the team in building high quality ETLs improving automation and deployment pipelines and implementing endtoend data lineage with clear visual traceability of data movement

Hybrid working:

The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time.

Your Role:

  • Own the technical roadmap for the platform aligning engineering outcomes to business priorities and operational resilience
  • Lead solution design for new integrations and platform capabilities balancing pace with long term maintainability
  • Set engineering standards coding testing documentation observability security and ensure consistent adoption across the team
  • Provide hands-on contribution where needed critical ETLs framework components design spikes performance fixes
  • ETL orchestration data movement
  • Design and develop robust ETL pipelines orchestrated in Airflow including scheduling strategies dependency management retries backfills and processing
  • Establish patterns for onboarding new source systems and delivering data to downstream vendor systems with strong reliability and traceability
  • Drive data quality controls validation reconciliation exception handling and operational runbooks
  • Platform engineering multitenancy scalability
  • Evolve the multitenant architecture tenant isolation configuration management metadata driven pipelines and scalable runtime patterns
  • Optimise for performance cost and reliability across environments devtestprod including capacity planning and operational SLAs
  • Automation CICD and release engineering
  • Improve build and deployment automation for both platform services and Airflow DAGs versioning packaging promotions approvals
  • Implement CICD best practices automated testing static analysis security scanning and controlled rollout rollback strategies
  • Reduce manual toil by investing in self-service onboarding templates and engineering enablement tooling
  • Data lineage observability
  • Implement end-to-end data lineage source platform vendor including metadata capture and a visual representation that supports auditability and faster incident resolution
  • Enhance observability across pipelines and services logging metrics alerting and dashboards drive measurable improvements in MTTR and change failure rate
  • Stakeholder management ways of working
  • Partner with product owners data owners architects vendors and governance teams to shape requirements and manage delivery expectations
  • Lead agile ceremonies and engineering planning remove blockers and maintain delivery momentum
  • Mentor engineers through code reviews design reviews and structured coaching foster a culture of continuous improvement

Your Skills:

  • Proven experience as a Technical Lead Engineer delivering data engineering or integration platforms in cloud environment
  • Strong hands-on experience building production grade ETLELT pipelines and orchestration with Airflow
  • Solid experience on Google Cloud Platform such as Data services eg BigQuery Cloud Storage PubSub Dataflow and or container platforms eg GKE Cloud Run IAM networking secrets management and environment separation
  • Strong software engineering foundations Python APIs configuration management architecture design testing strategy and performance tuning

We are a Disability Confident Employer:

Capgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government’s Disability Confident scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who:

  • Declare they have a disability, and
  • Meet the minimum essential criteria for the role.
  • Please opt in during the application process.

Make It Real (what does it mean for you):

  • You’d be joining an accredited Great Place to work for Wellbeing in 2024. Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions.
  • To help support wellbeing we have trained ‘Mental Health Champions’ across each of our business areas, and we have invested in wellbeing apps such as Thrive and Peppy.
  • You will be empowered to explore, innovate, and progress. You will benefit from Capgemini’s ‘learning for life’ mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard Manage Mentor, Cybersecurity qualifications and much more.
  • You will be joining one of the World’s Most Ethical Companies®, as recognised by Ethisphere® for 13 consecutive years. We live our values by making ethical business choices every day. Working ethically is at the centre of our culture at Capgemini, meaning you will be helping to create a future we can all be proud of.

Why you should consider Capgemini:

Growing clients’ businesses while building a more sustainable, more inclusive future is a tough ask. When you join Capgemini, you’ll join a thriving company and become part of a collective of free-thinkers, entrepreneurs and industry experts. We find new ways technology can help us reimagine what’s possible. It’s why, together, we seek out opportunities that will transform the world’s leading businesses, and it’s how you’ll gain the experiences and connections you need to shape your future. By learning from each other every day, sharing knowledge, and always pushing yourself to do better, you’ll build the skills you want. You’ll use your skills to help our clients leverage technology to innovate and grow their business. So, it might not always be easy, but making the world a better place rarely is.

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 over 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

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