Description
Capgemini is hiring a Data Engineer to design and implement end-to-end data processes using Azure Data Factory pipelines and Databricks workflows, develop and version data models for transactional and data warehouse environments, build scalable and secure Azure data solutions, support schema and data migrations, and optimize ETL performance and reliability. The role requires 5+ years of experience, hands-on Databricks, Python, and PySpark expertise, knowledge of Azure data engineering services including Azure Data Factory, Azure Data Lake, and Cosmos DB, plus DevOps and data-flow testing and optimization experience. The position is based with Capgemini Portugal and follows a hybrid work policy.
