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Salary
≈ $59k – $151k per year (Estimated)
Location
In office (Mechelen)
Seniority
Senior · 4+ years exp
Employment
Full-Time

First seen by Alion on Oct 11, 2026.

Overview
Company
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Profile match
Headquartered in Charleroi, Belgium, Editx is an innovative IT network and recruitment platform specializing in the technology sector. The platform connects IT professionals, students, and recruiters through professional networking tools, educational skill tests, and competitive tech challenges. By hosting curated job listings and interactive challenges, it helps organizations discover top technical talent while enabling tech professionals to advance their careers.

Datashift is a fast-growing consultancy team with a focus on delivering solutions that answer business questions with data and facts. For one of our fastest growing practices, we are looking for a skilled Azure BI & Data Engineer.

Do you have at least 4 to 6 years of experience? Do you love to work on projects and look at them from an end-to-end data perspective. Then we are delighted to receive your personal application and we’ll contact you for an interview and a (virtual) cup of coffee.

Your responsibilities
  • Leverage your Azure expertise to credibly translate customer needs into components and best practices within the Azure Data Platform.
  • Serve as the primary internal and external contact for specialized Azure expertise, with the opportunity to progress toward an Architect role.
  • Design and build data solutions within the Azure framework, making the trade-off between cost and maintainability.
  • You thrive on collaborating with colleagues and leverage your expertise to maximize your impact within our organization.
  • Stay up to date with technical developments, particularly those related to Azure, and quickly identify new features that can add value to data solutions.

     

Your qualifications
  • You have 4+ years of hands-on experience in the Microsoft BI ecosystem (Azure Data Factory, Azure Synapse Analytics, Databricks, Microsoft Fabric, Analysis Services en SQL Server Integration Services), preferably within an Azure cloud environment.
  • Demonstrated experience in building and optimizing ETL/ELT data pipelines and integrating data from diverse sources (also api’s).
  • Deep understanding of modern data architecture concepts, including Data Warehouses, the Kimball methodology, and Data Lakehouses, with hands-on experience and best practices in these areas.
  • SQL is your Swiss army knife for data transformation, and you’re also well-versed in Python to tackle any data challenge that comes your way.

     

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