Databricks Data Engineer
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Turn data into impact. Lead the way.
Are you passionate about building scalable data platforms and helping organizations unlock the full value of their data? We're looking for a Senior Databricks Data Engineer who is ready to take ownership, influence technical decisions, and drive innovation within modern cloud data environments.
Your mission
Design and optimize high-performance Databricks and Spark solutions
Build and maintain scalable ETL/ELT pipelines for batch and streaming workloads
Define and implement best practices around cloud architecture, security, governance, and CI/CD
Partner with business and technical stakeholders to deliver impactful data solutions
Explore and adopt the latest Azure and big data technologies
What you'll bring
5+ years of experience in Data Engineering
Strong expertise in Databricks, Azure, Spark (PySpark/Spark SQL), Python, and SQL
Solid understanding of data modelling and cloud-native architectures
Fluent in English and Dutch and/or French
A collaborative mindset with a passion for mentoring and knowledge sharing
What's in it for you?
- End-to-end ownership of challenging data projects
- Work with leading Azure and Databricks technologies
- Hybrid working model
- 40-hour workweek and 32 vacation days
- Freedom to innovate and contribute to technical strategy
- Opportunities for both permanent employees and freelance consultants
We know great talent doesn't always tick every box. If this opportunity excites you, we'd love to hear from you.
Interested? Send us a message or apply today.
#DataEngineering #Databricks #Azure #BigData #DataPlatform #Spark #TechJobs #Hiring
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