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Context of the mission / Objective(s) of the job

We are looking for a Data Engineer Service, who will primarily join one of our product Teams. It is an opportunity to mark with your signature our corporate Data organization, and contribute indirectly to better product to manage our Customer, as more qualitative data or service around data for our customer.

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).

Responsibilities

What will be your mission and for which competences will you need 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

What you will Not be doing:

You shall not act from an Ivory Technical Tower

You don't not make decisions for the Business but rather advise them with careful logic or showing your reasoning

You shall not deliver technical solution, rather product features

Requirements

As a candidate for this mission, you should also be able to demonstrate non-technical skills:

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

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

Language skills: fluent in English (must have) AND fluent in German/French or Dutch (soft requirement)

Good communication skills