Join a forward-thinking team shaping the future of HR Analytics. About the role

As 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. 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 tasks

This 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. We are looking for

Advanced knowledge of Databricks, including PySpark and SQL. Proficiency in designing Kimball star schemas and SCD1/SCD2. Solid understanding of Azure DevOps, YAML pipelines, and PR processes. It is meritorious if you have

Knowledge of Oracle HCM or PeopleSoft data models. Familiarity with Azure ADLS Gen2

Our recruitment process

This recruitment process is handled by Academic Work and it is our client’s wish that all questions regarding the position is directed to Academic Work. Our selection process is continuous and the advert may close before the recruitment process is completed if we have moved forward to the next phase.