At a Glance
- Tasks: Lead the engineering delivery for a scalable data integration platform on Google Cloud.
- Company: Join Capgemini, a global leader in tech transformation and innovation.
- Benefits: Enjoy hybrid working, competitive salary, and extensive training opportunities.
- Other info: Be part of a diverse team committed to ethical practices and employee wellbeing.
- Why this job: Make a real impact by building cutting-edge ETL pipelines and enhancing data quality.
- Qualifications: Experience in data engineering, ETL pipelines, and Google Cloud Platform is essential.
The predicted salary is between 63000 - 77000 £ per year.
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. You will guide the team in building high quality ETLs, improving automation and deployment pipelines, and implementing end-to-end 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.
- Evolve the multitenant architecture tenant isolation configuration management metadata driven pipelines and scalable runtime patterns.
- Optimise for performance cost and reliability across environments dev/test/prod including capacity planning and operational SLAs.
- 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.
- 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.
- 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 ETL/E LT pipelines and orchestration with Airflow.
- Solid experience on Google Cloud Platform such as Data services e.g. BigQuery, Cloud Storage, Pub/Sub, Dataflow and/or container platforms e.g. 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.
Google Cloud Platform (GCP) Data Engineer - London, UK employer: Capgemini
Capgemini is an excellent employer, offering a dynamic work culture that fosters collaboration and innovation in the heart of London. With a hybrid working model, employees enjoy the flexibility of blending office, client site, and home working, while also benefiting from extensive growth opportunities and professional development within the Capital Markets sector. Join us to be part of a team that values governance excellence and empowers you to make a meaningful impact in complex programme environments.
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We think this is how you could land Google Cloud Platform (GCP) Data Engineer - London, UK
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We think you need these skills to ace Google Cloud Platform (GCP) Data Engineer - London, UK
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