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# Azure Data Architect

- **Company:** Laco
- **Location:** Diegem (Machelen), Belgium
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Artificial Intelligence, Data Architecture, DevOps, Dimensional Modeling, Python (Programming Language), Machine Learning, Power BI, Azure Data Lake, SQL Databases, Azure Data Factory, Apache Spark, Microsoft Fabric, Information Technology, Azure Synapse Analytics, Databricks
- **Published:** June 7, 2026
- **Apply:** https://be.indeed.com/viewjob?jk=5677446b1ccea0bf

## About the Role

Do you have experience in Spark?, Do you have a Master's degree?, * You have a Bachelor's or Master's degree in computer science or equivalent

 * You're experienced with data consumption techniques from classic reporting to advanced analytics and AI (e.g. Power BI, Microsoft Fabric, Machine Learning…)
 * You have at least 3 years of experience with Azure Synapse, Azure Data Lake or Databricks
 * You have at least 3 years of experience with Power BI and Azure Data Factory
 * You are fluent in SQL, Python, Spark and DAX
 * You're familiar with data modelling techniques such as star schemas, dimensional modelling and Kimball methodology
 * You're experienced with agile development and DevOps practices
 * You communicate clearly in Dutch and/or French and English, both written and spoken

## Description

* See the bigger picture and take the broader business context into account, rather than focuse on one problem for one business
 * Translate business strategy and goals into scalable, futureproof data architectures
 * Work proactively and design with the future in mind
 * Communicate complex solutions in clear, accessible language
 * Contribute to proposals and position yourself as a subject-matter expert
 * Share knowledge internally and externally, and represent LACO in pitches and discussions, You'll meet one of our team leads or a subject-matter expert. Together, we explore your technical knowledge, your strengths and the topics you feel most confident in. Sometimes we include a small, practical exercise to understand how you think and how approach data challenges.


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