Data Engineer

Salary is open to negotiation 

Our mission consists in facilitating and driving the entire organization to leverage data as an enabler to achieve its targets:

1. Creating business value through Data
2. Think Data intuitively
3. Unlock transversal Data fit for purpose

With our Data Backbone consisting out of:

• a cutting-edge Integration Platform,
• Business Intelligence & Analytics (incl. Data Lake) capabilities,
• a Master Data Management platform,
• a Data Governance platform that encompasses Data Lineage and Data Quality.

Requirements

What the consultant will be doing and for which competences he/she will need an Extensive hands-on experience (> 3 to 5 years preferable) in 2 out of the 4 following categories:

• 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 using Azure services such as Azure Databricks, but also to some extent Azure Data Factory, Azure Functions, Azure Stream Analytics, and Azure DevOps
• Implementing data pipelines or data enrichments with Python in 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