Azure Databricks Engineer (Python / PySpark)
Amsterdam (Hybrid/Onsite) | Freelance (B2B)
€60–64/hr (max €70 vendor) | 6–12 months (extendable)
Role Overview
Looking for a hands-on Databricks specialist with strong Python/PySpark expertise to build scalable, production-grade data pipelines in Azure.
This is not a BI/reporting role — we need someone deep in data processing & Databricks engineering.
What You’ll Do
- Build & optimize batch + streaming pipelines in Azure Databricks
- Design scalable data models & workflows
- Handle parallel data processing on shared datasets
- Implement CI/CD pipelines (YAML)
- Work with IaC (ARM/Bicep)
- Collaborate in an Agile/DevOps setup
Must-Haves
- Strong hands-on Azure Databricks (core focus)
- Python, PySpark, SQL expertise
- Experience with data pipelines (streaming + batch)
- Solid Azure cloud + CI/CD knowledge
- Experience with Infrastructure as Code
- Agile way of working
You Are
- A pragmatic engineer (no over-engineering)
- Focused on quality, scalability & reliability
- Comfortable owning solutions in complex environments
- Proactive with a continuous improvement mindset
Why Join?
- Work on high-impact data platforms
- Strong engineering-focused environment
- Opportunity to shape robust, scalable systems
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