Databricks Data Engineer

📋 Description

• Design, develop, and implement scalable Databricks Lakehouse solutions on Azure/AWS/GCP.
• Build and optimize modular data pipelines using Delta Lake.
• Implement data governance and secure access via Databricks Unity Catalog.
• Write clean SQL and Python code in Databricks notebooks/IDEs.
• Develop automation scripts using Databricks CLI and REST APIs.
• CI/CD pipelines with GitHub Actions/GitLab CI/CD using DABs.

🎯 Requirements

• 3-5 years in data engineering focused on Databricks Lakehouse.
• Proven delivery of complex data solutions using Unity Catalog, Delta Lake, and Databricks SQL.
• Proficiency in SQL and Python for cloud data platforms.
• Experience with AI coding tools (Databricks Assistant, Copilot, Cursor, Claude Code).
• API integration and scripting for automation (Databricks CLI, REST APIs).
• CI/CD tooling (GitHub Actions, GitLab CI/CD) and Git/Databricks Repos; DABs.

🎁 Benefits

• Diverse projects with opportunities to grow.
• Empowerment: trust, support, and autonomy.
• Flexible ways of working; location and hours to suit you.
• Balanced life with a healthy work-life balance.
• Mentoring from day one with ongoing support.
• Learning & development opportunities to grow.