GDB/ZE

<p>Education<br>▪ Bachelor's degree in computer science, Information Technology, Engineering, Business, or related fields.</p> <p>Work experience<br>▪ Minimum 7-8 years related working experience as a Dataengineer using Azure, Databricks, Python, Azure Data Factory or Synapse<br>Technical &amp; Professional Knowledge (mandatory)<br>▪ Experience in Agile way of working with a DevOps mindset<br>▪ In-depth know how with Lakehouse concepts, Databricks and Unity Catalog.<br>▪ Strong data engineering and development skills to maintain and extend the data product layer of our datalake<br>▪ Strong knowledge in automation &amp; scripting with tools like Github actions, Azure DevOps pipelines, Azure Data Factory, etc.<br>Technical &amp; Professional Knowledge (additional plus/nice to have skills)<br>▪ Experience with Azure Datafactory/Synapse data flows and pipelines, which are the basis of a legacy application for data products<br>▪ Ideally, automating code generation and code management with the help of AI tools<br>▪ PowerBI as one of the main tools of our users<br>▪ Integration knowledge, how metadata can be exchanged with other applications via APIs e.g. with Colibra datacatalog or an inhouse solution for data product definition<br>▪ Ideally, backed up by vendor certifications (e.g. Microsoft, Databricks).<br>▪ Team player with strong interpersonal, written, and verbal communication skills</p>