Senior Azure Databricks Platform Engineer

Senior Azure Databricks Platform Engineer (Freelance) – 4 Months – Aalst, Belgium

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About the Role

Our client is seeking a Senior Azure Databricks Platform Engineer to architect, deploy, and operationalize a secure, scalable Databricks environment that empowers data scientists to collaborate, innovate, and drive AI/ML initiatives. This freelance assignment is based in Aalst, Belgium, for a duration of 4 months. You’ll be at the heart of a mission to enable impactful environmental solutions, ensuring the platform is robust, reproducible, and future-ready.

Why This Role Matters

This is a pivotal opportunity to shape the data and AI landscape for a leading organization dedicated to climate resilience and environmental innovation. Your work will directly enable data scientists to deliver insights and models that drive cleaner water, healthier air, and climate adaptation for generations to come. The stakes are high: your expertise will ensure the platform is secure, scalable, and built for real-world impact.

What You’ll Be Doing

• Designing and deploying a new Azure Databricks environment within a pre-configured Azure subscription


• Translating data science platform needs into a robust, scalable Azure and Databricks setup


• Implementing Infrastructure as Code using Terraform for reproducible deployments


• Provisioning Databricks Workspaces, compute policies, repositories, jobs/workflows, and access models


• Integrating Databricks with Azure Data Lake Storage Gen2 and other relevant Azure resources


• Establishing foundational AI/ML workload capabilities


• Implementing logging, monitoring, auditability, and cost management measures


• Delivering comprehensive technical documentation, architecture descriptions, runbooks, and knowledge transfer


• Collaborating in an Agile environment with cross-functional teams

What We’re Looking For

• Proven experience as a Senior Data Engineer


• Expertise in CI/CD for Databricks and Terraform via GitHub or Azure DevOps


• Hands-on experience setting up and configuring Azure Databricks Workspaces


• Demonstrated ability to deploy Azure Databricks platforms using Terraform


• Strong programming skills in Python, Java, or Scala for data stream and ETL development


• Deep understanding of AI/ML and data science platform requirements


• Experience designing and implementing ETL processes


• Solid knowledge of databases and security-by-design principles


• In-depth expertise with Unity Catalog


• Possession of a Databricks certification


• Familiarity with Azure Data Lake Storage Gen2


• Experience with government or public sector projects is a plus


• Ownership mindset, proactive problem-solving, and a drive for impact

Technical Skills

• Azure Databricks


• Terraform (Infrastructure as Code)


• CI/CD pipelines (GitHub, Azure DevOps)


• Python, Java, or Scala


• ETL process design and implementation


• Unity Catalog


• Azure Data Lake Storage Gen2


• Security-by-design best practices


• Databricks certification (preferred)

Language Proficiency

• Dutch at European CEFR level C2 (required)

Other Requirements

• Work delivered in an Agile environment


• Partial on-site presence in Aalst, Belgium (to be discussed)


• Must use own business license for Office software if required


• VMM provides necessary licenses, software, and network access for the assignment