Data Engineer (GCP)

Role summary

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The Data Engineer (GCP) role involves designing, building and maintaining scalable data pipelines and cloud-based data platforms on Google Cloud Platform. Candidates are generally expected to have experience with BigQuery, Cloud Storage, Dataflow, Pub/Sub, Dataproc, Composer or related GCP services, along with strong SQL and Python skills. Knowledge of data modelling, ETL/ELT development, workflow orchestration, APIs and distributed processing is valuable. The role may also require familiarity with CI/CD, Agile delivery, testing, monitoring, security and data governance. Capgemini expects candidates to communicate effectively with clients and technical teams, troubleshoot complex data issues, document solutions and contribute to modern data engineering projects.

About the employer

Capgemini is a global consulting, technology services and digital transformation company headquartered in France. It helps organizations modernize technology, improve business operations and develop digital products across industries including financial services, manufacturing, healthcare, telecommunications and consumer goods. Its services cover cloud computing, data and artificial intelligence, cybersecurity, enterprise applications, engineering, software development and managed services. Capgemini works with major technology partners, including Google Cloud, Microsoft, AWS and SAP, and employs professionals across a wide international network. In Malaysia, the company supports regional and global clients through delivery, consulting and technology teams. Employees may work on large-scale transformation programmes, cloud migrations, analytics platforms and application modernization initiatives, often in collaborative, multicultural and client-facing environments.