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 the Data Platform (Databricks), which is based on the medallion architecture.

In addition, you possess in-depth knowledge of SQL, dbt, and dimensional modeling according to Kimball.

You are familiar with Databricks and PBI.

Finally, you work pragmatically and according to Agile principles.

Profile:

• Master's degree
• Strong experience as a data/BI consultant
• Experience reading API documentation and performing functional/technical analyses
• Good communication with both technical teams and business stakeholders
• Experienced Power BI consultant
• Strong in data modeling and DAX
• Experience with dashboards for management/executive reporting
• Experience with Databricks sources is a plus
• Experience with monitoring or governance reports is a plus, as is a certification in DP-600
• Implementing Analytics Solutions Using Microsoft Fabric
• Certificates: dbt Developer / dbt Labs / Power BI Data Analytics Associate

Given the nature of the tasks at RVA, successful work experience at a government agency in the field of social security is a significant asset.

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

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