Data Engineer

• Implement solutions using on-premise data technologies stack from Microsoft (SSIS, SSAS, and SQL Server).
• Develop data pipelines using Azure services like Azure Databricks, Azure Data Factory, Azure Functions, Azure Stream/log Analytics, and Azure DevOps.
• Create data pipelines or data enrichments with Python in a Databricks environment.
• Learn and adapt to new technologies such as Redis, RabbitMQ, Neo4j, or Apache Arrow.
• Collaborate with business analysts and stakeholders to refine requirements and present reusable, integrated solutions.
• Contribute to extensive testing of solutions and reinforce DevOps principles within the team.
• Assist in writing and structuring documentation.

• Extensive hands-on experience (preferably 3 to 5 years) in at least 2 of the following categories:

• Microsoft on-premise data technologies stack.
• Azure services for data pipelines.
• Python in Databricks environment.

• Ability to challenge interlocutors using rational thinking and a no-nonsense philosophy.
• Ability to view data transversally across the enterprise to maximize coherence, reuse, and adoption.
• Track record of driving results through continuous improvement.
• Customer-oriented thinking and iterative analytical approach to problem-solving.
• Team player with respect, open-mindedness, daring, challenging, innovation, and a unified voice for the customer.
• Product-oriented mindset and willingness to share ideas and contribute to product success.

Language Skills:

• Fluent in English (must-have).
• Fluent in German/French or Dutch (soft requirement).