GCP Data Platform Lead: ETL, Airflow & Scalable Pipelines

Capgemini; Greater London; Hybrid; GBP 70,000 - 110,000; Full time

Job summary

Capgemini is seeking a Google Cloud Platform Data Engineer to lead the engineering delivery and technical direction for a scalable multitenant data integration platform on Google Cloud Platform. The role emphasizes guiding the team in building high-quality ETLs, automations, and end-to-end data lineage with clear visual traceability of data movement.

You will design robust pipelines, establish patterns for source onboarding, and drive data quality, observability, and governance.

Qualifications

• Proven experience delivering data engineering or integration platforms in cloud environments.
• Hands-on experience building production-grade ETL/ELT pipelines and Airflow orchestration.
• Strong foundations in software engineering, including Python, APIs, configuration management, architecture design, testing, and performance tuning.
• Familiarity with CICD and release engineering practices.

Responsibilities

• Own the technical roadmap for the data platform and align engineering outcomes with business priorities.
• Lead solution design for new integrations and platform capabilities.
• Set engineering standards for coding, testing, observability, security and documentation.
• Provide hands-on contributions to critical ETL components and performance fixes.
• Establish patterns for onboarding new source systems and delivering data with strong traceability.
• Drive data quality controls, validation, reconciliation and runbooks.
• Improve CI/CD, automated testing, and deployment processes.
• Mentor engineers through code reviews and design reviews.

Skills

Data engineering

ETL pipelines

Airflow

Google Cloud Platform

Python

CI/CD

Leadership

Architectural design

Performance tuning

Tools

BigQuery

Cloud Storage

Pub/Sub

Dataflow

GKE

Cloud Run

Job description

Capgemini is seeking a Google Cloud Platform Data Engineer to lead the engineering delivery and technical direction for a scalable multitenant data integration platform on Google Cloud Platform. The role emphasizes guiding the team in building high-quality ETLs, automations, and end-to-end data lineage with clear visual traceability of data movement.

You will design robust pipelines, establish patterns for source onboarding, and drive data quality, observability, and governance.