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 (Python, Scala).
• Experience with BigQuery, Cloud Storage, Dataflow, 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.
• A wide range of employee perks: meal vouchers, Multisport card, birthday day off, free office gym access, and company breakfasts.

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.

Job Description - Grade Specific

The primary focus is to help organizations design, develop, and optimize their data infrastructure and systems. They help organizations enhance data processes, and leverage data effectively to drive business outcomes.