GCP Cloud Data Engineer

Role summary

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Capgemini’s GCP Cloud Data Engineer role involves designing, building and maintaining scalable data platforms on Google Cloud. Typical requirements include practical experience with BigQuery, Cloud Storage, Dataflow, Dataproc, Pub/Sub and other GCP services, together with strong SQL and Python skills. Candidates should understand data modelling, ETL or ELT pipelines, orchestration, data quality, security and infrastructure automation. Experience with Terraform, CI/CD, distributed systems and Agile delivery is valuable. The successful candidate is expected to work with clients and technical teams, translate business needs into reliable cloud solutions, troubleshoot production issues and follow governance standards. Relevant cloud certifications, particularly Google Professional Data Engineer, are advantageous.

About the employer

Capgemini is a global business and technology transformation company headquartered in France. It provides consulting, digital services, engineering, cloud, data, artificial intelligence, cybersecurity and managed services to clients across many industries. The company works with major organisations to modernise technology estates, improve customer experiences and develop more efficient operating models. Capgemini has a substantial presence in Asia-Pacific, including Malaysia, where its teams support international and regional clients through delivery centres, consulting practices and technology hubs. Employees commonly work in multidisciplinary, multinational teams and may support projects involving cloud migration, enterprise platforms, software engineering, analytics and digital transformation. Its scale offers opportunities to gain exposure to varied industries and technologies, although project pace, working arrangements and career progression can differ by account and business unit.