9 days ago
London, United KingdomStaff+
Responsibilities
- Own the platform technical roadmap and align engineering outcomes with business priorities and operational resilience.
- Lead solution design for integrations and platform capabilities while balancing delivery speed and maintainability.
- Design and develop reliable ETL pipelines orchestrated with Airflow, including scheduling, dependencies, retries, backfills, and processing.
- Establish source-system onboarding and downstream vendor delivery patterns with strong reliability and traceability.
- Drive data quality controls, validation, reconciliation, exception handling, and operational runbooks.
- Evolve multitenant architecture, tenant isolation, configuration management, metadata-driven pipelines, and scalable runtime patterns.
- Optimize platform performance, cost, reliability, capacity, and operational service levels across environments.
- Improve build and deployment automation for platform services and Airflow DAGs, including versioning, packaging, promotion, approval, testing, scanning, and rollback strategies.
- Implement end-to-end data lineage and improve logging, metrics, alerting, dashboards, and incident-resolution outcomes.
- 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 mentor engineers through code reviews, design reviews, and coaching.
Requirements
- Proven experience as a Technical Lead Engineer delivering data engineering or integration platforms in a cloud environment.
- Strong hands-on experience building production-grade ETL/ELT pipelines and orchestrating them with Airflow.
- Solid experience with Google Cloud Platform data services such as BigQuery, Cloud Storage, Pub/Sub, and Dataflow, or container platforms such as GKE and Cloud Run.
- Experience with Google Cloud IAM, networking, secrets management, and environment separation.
- Strong software engineering foundations in Python, APIs, configuration management, architecture design, testing strategy, and performance tuning.
Benefits
- Hybrid working across company offices, client sites, and home, with no option to work from home 100% of the time.
- Wellbeing support including Mental Health Champions and wellbeing apps such as Thrive and Peppy.
- Training and development opportunities including think tanks, hackathons, access to 250,000 courses, and external certifications.
- Inclusive recruitment support through Capgemini’s Disability Confident Employer Level 2 commitment.
Tech Stack
Categories
Data Engineering
About Capgemini
Capgemini is a global IT services and consulting firm that delivers strategy, cloud, AI, software engineering, and managed services to large enterprises and public-sector clients. Founded in 1967 and headquartered in Paris, it is publicly traded on Euronext Paris and operates in 50+ countries. The group expanded its engineering capabilities by acquiring Altran in 2020, now operating as Capgemini Engineering.