For a long term mission for one of our customers we are urgently looking for a Medior Data Engineer.
We are looking for Data Engineers able to create data pipelines, efficient storage structures, powerful materialized views in different analytical technologies, but also data exchange endpoints at destination of our users. To some extent, you'll also have to interact with aspect related to governance tools (Glossary, Modeling, Lineage, or Data Quality…).
Technical skills:
An extensive hands-on experience (> 3 to 5 years preferable) in 2 out of the 4 following categories:
Usage of the SQL server
Implementing data pipelines using Azure services such as Azure Databricks, but also to some extent Azure Data Factory, Azure Functions, Azure Stream/log 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 Redis, RabbitMQ, Neo4j, or Apache Arrow, …)
Able and willing to interact with business analysts and stakeholders to refine some requirements and to present reusable and integrated solution
Able and willing to contribute to extensive testing of the solution, as the reinforcement of devops principles within the team.
Able and willing to contribute to the writing and structuration of documentation
Experience with Power BI
Experience with SAP data integration is not mandatory, but it is a plus.
Able to challenge your interlocutors by leveraging your rational thinking, and no non-sense philosophy.
Continuously look at data in a transversal way (no siloes), across the entire Enterprise, to maximize coherence, reuse and adoption.
Non-technical skills:
Track record of driving results through continuous improvement
Customer-oriented
Thinking Iterative
Analytical approach to problem-solving and a track record of driving results through continuous improvement
Team player breathing respect, open-mind, dare, challenge, innovation and one team/voice for the Customer
Product-oriented mindset
Enjoy sharing ideas with the team (or with other teams) and contribute to the product success
Good communication skills
Languages (give the level of the languages in accordance with the European classification (A1 to C2)):
English is mandatory (You are able to speak, read and write fluently) and
Fluent in German/French or Dutch (soft requirement)
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