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About the Role

We are seeking a Google Cloud Platform (GCP) Data Engineer to lead the engineering delivery and technical direction for a scalable multitenant data integration platform on GCP. This platform utilizes Managed Airflow Composer for ETL orchestration and ensures reliable data movement from source to downstream systems. You will guide the team in building high-quality ETLs, enhancing automation and deployment pipelines, and implementing end-to-end data lineage with clear traceability.

Responsibilities

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 and ensure consistent adoption of engineering standards for coding, testing, documentation, observability, and security.
Provide hands-on contribution for critical ETLs, framework components, design spikes, and performance fixes.
Design and develop robust ETL pipelines orchestrated in Airflow, including scheduling, dependency management, retries, and backfills.
Establish patterns for onboarding new source systems and delivering data to downstream vendor systems reliably and traceably.
Drive data quality controls, validation, reconciliation, exception handling, and operational runbooks.
Evolve the multitenant architecture, focusing on tenant isolation, configuration management, metadata-driven pipelines, and scalable runtime patterns.
Optimize for performance, cost, and reliability across environments, including capacity planning and operational SLAs.
Improve build and deployment automation for platform services and Airflow DAGs, including versioning, packaging, promotions, and 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 visual representation for auditability and incident resolution.
Enhance observability across pipelines and services (logging, metrics, alerting, dashboards) to improve MTTR and reduce 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, fostering a culture of continuous improvement.

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 orchestration with Airflow.
Solid experience on Google Cloud Platform (GCP) services such as BigQuery, Cloud Storage, Pub/Sub, Dataflow, and/or container platforms like GKE, Cloud Run.
Experience with GCP IAM, networking, secrets management, and environment separation.
Strong software engineering foundations in Python, APIs, configuration management, architecture design, testing strategy, and performance tuning.

Skills

Google Cloud Platform (GCP)
Data Engineering
ETL/ELT pipeline development
Airflow orchestration
Python
APIs
Configuration Management
Architecture Design
Testing Strategy
Performance Tuning
BigQuery
Cloud Storage
Pub/Sub
Dataflow
GKE
Cloud Run
IAM
Networking
Secrets Management
Environment Separation
Data Lineage
Observability
CICD
Agile Methodologies

Location

Hybrid

Work Type

Hybrid

Experience Level

Technical Lead

Benefits

Employee wellbeing support
Mental Health Champions
Wellbeing apps (Thrive, Peppy)
Training and development opportunities
Access to over 250,000 courses
External certifications (AWS, Microsoft, Harvard Manage Mentor, Cybersecurity)
Recognition as a Great Place to Work for Wellbeing in 2024
Recognition as one of the World's Most Ethical Companies®

About the Company

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 a heritage of nearly 60 years, Capgemini is 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 deep industry expertise and a strong partner ecosystem, leveraging capabilities across strategy, technology, design, engineering, and business operations.
The Group reported 2025 global revenues of €22.5 billion.
Capgemini helps clients grow their businesses while building a more sustainable, more inclusive future.
We are a collective of free-thinkers, entrepreneurs, and industry experts who find new ways technology can help reimagine what’s possible.
We seek out opportunities that will transform the world’s leading businesses.

Equal Opportunity

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.