Job description

Service description:
Description of the mission

To work on one of the Data Products delivered by the Data team (within the Digital & Data department), we are looking for Data Engineers to create data pipelines, efficient storage structures in a data lake, powerful materialized views in different technologies but also advanced visualizations or ways to put at disposal of the users some data exchange points. To some extends, you’ll also interact with other tools regarding governance, lineage or quality.

Profile:
Hands-on experience in 2 out of the 4 following categories:
implementing data pipelines using Azure services such as Azure Databricks but also to some extends Azure Data Factory, Azure Functions, Azure Stream Analytics and Azure DevOps.
implementing solutions with on-premise data technologies stack from Microsoft (SSIS, SSAS and SQL Server)
implementing advanced solutions with Power BI (DAX, M language, Visualizations …)
implementing data pipelines or data enrichments with Python or C# (or Rust) outside of a Databricks environment
Open to learn and jump on new technologies (on the ones listed above or also Neo4j, Apache Arrow …)
Able and willing to interact with business analysts and stakeholders to refine some requirements and also present the solution
Able and willing to contribute to automated testing of the solution
Able and willing to contribute to the documentation.
Enjoy sharing ideas with the team (or with other teams) and contributing to the product success

Context:
English written and spoken.
Working within a data team of +/- 60 persons located at Brussels and Berlin owning multiple data products. Each data product is acting as long-standing teams (between 4 and 8 persons)
40h/week (but 32h/week also welcome)

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