{"id":3728149,"url":"https://alion.io/job/capgemini-google-cloud-platform-gcp-data-engineer-london-uk","title":"Google Cloud Platform (GCP) Data Engineer - London, UK","company":{"id":145,"name":"Capgemini","domain":"capgemini.com","url":"https://alion.io/company/capgemini","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":{"grade":"B","score":79,"open_postings":1779,"ghost_share":0.004,"stale_share":0.817,"repost_share":0.017,"time_to_fill_p50_days":30,"computed_at":"2026-11-08T05:47:12Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["London, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Google Cloud Run","optional":false},{"name":"Google GKE","optional":false},{"name":"IAM","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"Kubernetes","optional":true}],"status":"live","first_seen_at":"2026-11-03T12:41:16Z","employer_posted_date":"2026-11-03","last_verified_at":"2026-11-08T19:09:34Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"About the Job you are considering:\nWe 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\nHybrid working:\nThe 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.\nYour Role:\nOwn the technical roadmap for the platform aligning engineering outcomes to business priorities and operational resilience\nLead solution design for new integrations and platform capabilities balancing pace with long term maintainability\nSet engineering standards coding testing documentation observability security and ensure consistent adoption across the team\nProvide hands-on contribution where needed critical ETLs framework components design spikes performance fixes\nETL orchestration data movement\nDesign and develop robust ETL pipelines orchestrated in Airflow including scheduling strategies dependency management retries backfills and processing\nEstablish patterns for onboarding new source systems and delivering data to downstream vendor systems with strong reliability and traceability\nDrive data quality controls validation reconciliation exception handling and operational runbooks\nPlatform engineering multitenancy scalability\nEvolve the multitenant architecture tenant isolation configuration management metadata driven pipelines and scalable runtime patterns\nOptimise for performance cost and reliability across environments devtestprod including capacity planning and operational SLAs\nAutomation CICD and release engineering\nImprove build and deployment automation for both platform services and Airflow DAGs versioning packaging promotions approvals\nImplement CICD best practices automated testing static analysis security scanning and controlled rollout rollback strategies\nReduce manual toil by investing in self-service onboarding templates and engineering enablement tooling\nData lineage observability\nImplement end-to-end data lineage source platform vendor including metadata capture and a visual representation that supports auditability and faster incident resolution\nEnhance observability across pipelines and services logging metrics alerting and dashboards drive measurable improvements in MTTR and change failure rate\nStakeholder management ways of working\nPartner with product owners data owners architects vendors and governance teams to shape requirements and manage delivery expectations\nLead agile ceremonies and engineering planning remove blockers and maintain delivery momentum\nMentor engineers through code reviews design reviews and structured coaching foster a culture of continuous improvement\nYour Skills:\nProven experience as a Technical Lead Engineer delivering data engineering or integration platforms in cloud environment\nStrong hands-on experience building production grade ETLELT pipelines and orchestration with Airflow\nSolid 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\nStrong software engineering foundations Python APIs configuration management architecture design testing strategy and performance tuning\nWe are a Disability Confident Employer:\nCapgemini 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:\nDeclare they have a disability, and\nMeet the minimum essential criteria for the role.\nPlease opt in during the application process.\nMake It Real (what does it mean for you):\nYou’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.\nTo 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.\nYou 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.\nYou 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.\nWhy you should consider Capgemini:\nGrowing 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.\nAbout Capgemini:\nCapgemini 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. 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