Azure Databricks Engineer
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We're looking for an
Azure
Data b ricks Data Engineer
who loves transforming raw data into scalable, high-performing solutions. You'll design and build modern Lakehouse platforms using Azure Databricks, Delta Lake, Unity Catalog and Microsoft Fabric. Help customers modernize their data landscape and enable advanced AI and analytics use cases.
What you'll do Design and optimize modern
data platforms and solutions
using
Azure Databricks, Microsoft Fabric, Spark, Lakehouse architectures, and AI-ready data platforms . Enable
GenAI use cases
by preparing data platforms and pipelines to support
LLM, RAG, and AI-driven applications . Contribute to
Data Mesh architectures , enabling scalable, decentralized, and domain-oriented data solutions. Improve platform
performance, reliability, scalability, CI/CD processes, and cloud architecture . Collaborate with
data professionals, architects, and business stakeholders
to design and deliver impactful data and AI solutions.
Why LACO One of Belgium's leading Microsoft Data & AI consultancies where you'll work hands-on with both Azure Databricks and Microsoft Fabric. Strong focus on innovation and emerging technologies Knowledge sharing at the heart of everything we do Opportunity to grow into Lead Engineer, Solution Architect or AI Engineer roles
What's in it for you? ✅ Take real ownership and influence technical decisions ✅ Continuous learning, coaching, and career growth opportunities ✅ Salary package aligned with your experience plus company car and extensive benefits. ✅ Join a team of Data Engineers, Architects, AI Engineers and Fabric specialists who actively share knowledge through communities, coaching and technical sessions. ✅
Hybrid working, 32 days leave, and excellent work-life balance
What you'll bring Around 3 + years of experience
in Data Engineering Strong knowledge of
Databricks, Spark (PySpark/Spark SQL), SQL, and Python Experience with
ETL/ELT, data modelling, cloud platforms, and CI/CD Fluent in
Dutch and/or French, plus English Open to both
employees and freelance consultants
Ready to build scalable data platforms? Let's talk.
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