Databricks Engineer

Role summary

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The Databricks Engineer will design, build and maintain data platforms and pipelines using Databricks, Apache Spark, SQL and cloud technologies such as Azure, AWS or Google Cloud. Responsibilities typically include developing reliable ETL processes, implementing data quality and security controls, optimizing workloads, supporting data warehousing and collaborating with data scientists, analysts and business teams. Candidates are expected to have practical experience with Python or Scala, Spark, Delta Lake, cloud data services, version control and CI/CD. Strong problem-solving, communication and stakeholder-management skills are important. Experience with data governance, Agile delivery and enterprise consulting would be advantageous, particularly within a large technology services environment such as Capgemini.

About the employer

Capgemini is a global business and technology services company that helps organizations use technology to improve operations, customer experiences and business performance. Its services cover cloud, data and artificial intelligence, cybersecurity, software engineering, enterprise applications, consulting and digital transformation. Capgemini works with clients across industries including financial services, manufacturing, telecommunications, retail, healthcare and the public sector. The company operates through a large international workforce and commonly delivers complex projects in partnership with major technology providers such as Microsoft, AWS, Google Cloud, SAP and Databricks. In Malaysia, Capgemini supports regional and global clients through consulting, engineering, application services and shared delivery teams. Its working environment generally emphasizes continuous learning, collaboration, professional certifications and the ability to work across multicultural, distributed teams.