Data Engineering Lead (GCP)

Capgemini is an AI-powered global business and technology transformation partner with nearly 60 years of heritage, employing over 420,000 team members in more than 50 countries. The group reported 2025 global revenues of €22.5 billion. They deliver end-to-end services and solutions leveraging expertise across strategy, technology, design, engineering, and business operations.

• 8 to 12 years of experience in implementation of large enterprise data cloud / data hub projects
• At least 5 years working in enterprise data lake / data cloud / data hub projects
• 5+ years of experience in a technical leadership role including conceptualizing, designing, and team management
• Experience with Google Cloud Platform (GCP) services: BigQuery, Cloud Composer (Airflow), Dataproc, Pub/Sub, Cloud SQL
• Programming skills in SQL and Python
• Expertise in ETL/ELT pipeline design and orchestration
• Experience with data warehousing using BigQuery
• Ability to troubleshoot and resolve critical issues quickly
• Proven leadership skills to lead and motivate large teams in a fast-paced, 24x7 environment
• Ability to work effectively in a global, cross-functional team

Nice to have:

• Google Cloud certifications (e.g., Professional Data Engineer, Professional Cloud Architect)
• Expertise in data modelling in functional areas such as HR, Finance, Sales, Legal, Service Delivery

• Design and implement robust data pipelines and workflows using GCP Composer (Airflow), BigQuery, data quality, data lineage, metadata management, and data security
• Develop and optimize scalable data engineering solutions leveraging GCP services (Dataflow, Dataproc, Pub/Sub)
• Ensure data quality, security, and compliance across all data processes
• Troubleshoot and resolve complex technical issues quickly; lead crisis management efforts to minimize impact
• Collaborate with cross-functional teams to deliver high-quality, reliable data solutions aligned with enterprise strategy
• Mentor and guide team members; provide technical leadership and support during challenging situations
• Ensure data privacy and compliance with regulations