Azure data bricks engineer (platform engineer)

We are looking for an experienced Platform Engineer with strong expertise in Databricks and the Microsoft Azure ecosystem . In this permanent role, you will build and maintain a scalable Databricks platform for Reporting & Analytics, focusing on CI/CD pipelines, Lakeflow processes, and data integrations.

You will collaborate closely with data engineers, BI analysts, and architects to ensure a secure, standardized, and high-performing data platform. This role requires 2-3 days per week on-site .

Key Responsibilities

• Develop metadata-driven CI/CD pipelines in Databricks
• Implement Lakeflow and medallion architecture
• Manage Azure components (Key Vault, ADLS Gen2, AAD)
• Integrate data via APIs
• Deploy using Databricks Asset Bundles (DABs)
• Monitor and optimize cluster performance
• Manage reporting integrations (Power BI/Fabric) and publishing to the Lakehouse
• Contribute to documentation and knowledge sharing

What You Bring

• 5+ years as a Platform Engineer or Data Engineer within Azure
• Strong programming skills in Python and PySpark
• Hands-on experience with Databricks (Unity Catalog, Lakeflow, DABs)
• Experience with testing, version control, and Azure DevOps
• Relevant certifications (e.g., DP-203, Databricks Associate/Professional)
• Strong analytical and problem-solving skills

What We Offer

• Competitive salary and excellent benefits
• Opportunities for continuous learning and development
• Hybrid working model with 2-3 days in the office