RVA is looking for an experienced Data Analytics Engineer with proven hands-on experience in data projects.

As a Data Analytics Engineer, you are involved in every phase of the data lifecycle: from data analysis and modeling to workflow orchestration, quality control, and performance optimization.

You design, build, and maintain robust data pipelines and actively contribute to the ingestion of data from various source systems into a hybrid data platform. This includes both the on-premises EDW, modeled according to the Data Vault methodology, as well as the cloud-based MDP, which relies on a medallion architecture.

In addition, you possess in-depth knowledge of SQL, dbt, and dimensional modeling according to Kimball; you also have a good understanding of DataVault2.0.

You are familiar with Databricks and PBI.

Finally, you work pragmatically and according to Agile principles.

Together with your CV, we ask you to answer the question below. Failure to submit an answer, or if the answers are insufficient, will result in the candidate not being retained.

Tell us more about how you have previously conducted research into which KPIs are important for reporting and how you then implemented them.