Google Cloud Data Engineer

Job Description

As a Google Cloud 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 in Python and Scala.
• Experience with BigQuery, Cloud Storage, Dataflow, and Airflow.
• Understanding of data modeling and distributed systems.
• Google Cloud Data Engineer certification preferred.

What you'll love about working here

• A supportive environment for continuous learning, including certifications and access to global expertise.
• Flexible work culture based on trust, hybrid options, relaxed hours, and a focus on results.
• Opportunities to contribute to social impact initiatives like Impact Together Week.
• Employee perks including meal vouchers, a Multisport card, a birthday day off, free office gym access, and company breakfasts.

Capgemini is an equal opportunity employer. The primary focus of this role is to help organizations design, develop, and optimize their data infrastructure and systems, enhance data processes, and leverage data effectively to drive business outcomes.