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.