Join a forward-thinking team shaping the future of HR Analytics. Work with a modern Azure and Databricks stack to deliver high-impact data solutions across Sweden and the Baltic states in a dynamic banking environment.About the roleAs a Data Engineer in this role, you will combine technical expertise with business understanding to develop our client's HR Analytics platform. You will primarily work on building and maintaining data models in Databricks using PySpark and SQL. You will also oversee and further build upon automated workflows in Databricks Workflows. The key competencies for this position also include Kimball modeling, practical application of SCD1 & SCD2, and experience with code management via Azure DevOps.You are offered We offer a high-impact hybrid role where you can work with the latest cloud technologies like Databricks and Azure, while enjoying the flexibility of a modern workplace environment.Work tasksThis role focuses on the technical development and orchestration of data within an HR Analytics environment, utilizing Azure and Databricks to process complex HR data sets.Develop and maintain PySpark and SQL notebooks within Databricks on a daily basis. Implement and manage SCD1 and SCD2 Configure Unity Catalog for data governance, including catalogs, grants, and security. Manage CI/CD processes using Azure DevOps repos and YAML pipelines. Monitor Databricks Workflows and task dependencies. Collaborate on Power BI semantic models.We are looking forAdvanced knowledge of Databricks, including PySpark and SQL.Strong experience with Delta Lake operations such as MERGE.Proficiency in designing Kimball star schemas and SCD1/SCD2.Solid understanding of Azure DevOps, YAML pipelines, and PR processes.Professional fluency in English and Swedish.It is me…DataingenjörIngenjörer och tekniker inom elektroteknik
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