As a Google Data Engineer, you design, build, and maintain scalable data platforms and pipelines on Google Cloud. You work with large datasets, ensuring data quality, reliability, and performance across the full data lifecycle. You collaborate with architects, analytics teams, and business stakeholders to deliver data products that support reporting, analytics, and AI use cases.
Your Role
- Build and optimize data pipelines (ETL/ELT) on Google Cloud.
- Develop data lakes and warehouses using BigQuery and cloud-native services.
- Ensure data quality, security, and performance.
- Collaborate with architects and analytics teams.
- Automate deployments using CI/CD and infrastructure as code practices.
Your Profile
- Strong SQL and programming skills (Python, Scala).
- Experience with BigQuery, Cloud Storage, Dataflow, Airflow.
- Understanding of data modeling and distributed systems.
- Google Cloud Data Engineer certification (preferred).
- Looker knowledge is a plus.
What You'll Love About Working Here
- Flexible and dynamic work environment involving teams spread across different global locations.
- Communities with shared interests and identities, all working together to advance diversity, equity and inclusion within the workplace and society.
- Access to various training programs and platforms (e.g.: content provided by Pluralsight, Harvard and Coursera).
- Attractive benefits package (meal tickets, medical services, Benefit online, Employee Share Option Plan).
Capgemini is an equal opportunity employer. We promote equality and dignity in all aspects of recruitment and employment, and all offers of employment and promotions are made on the basis of performance, competence and ability.