Role: Data Platform Engineer (Databricks & dbt) Engagement: Contract / B2B Location: Fully Remote An experienced Data Platform professional is required to join an enterprise data initiative, focusing on the optimisation, governance, and administration of a modern Databricks environment.

Key Responsibilities - Optimise and monitor Databricks SQL Warehouses to maximise query performance, scalability, and cost efficiency across enterprise workloads

- Administer Databricks workspaces, supporting users, projects, and operational data activities
- Manage role based access control (RBAC) and security permissions to ensure robust, compliant data access
- Build, test, document, and deploy transformation pipelines utilising dbt
- Leverage modern AI tooling to accelerate delivery, automate platform tasks, and improve overall workflow productivity
- Apply enterprise platform governance standards and operational best practices
- Support continuous improvement, documentation, troubleshooting,



and stakeholder collaboration Essential Requirements - Proven track record within Data Platform Engineering or specialised Data Engineering roles
- Deep technical expertise in Databricks administration, workspace management, and SQL Warehouse optimisation
- Strong practical experience using dbt for scalable data transformation and testing
- Solid background in platform security, governance, and role based access control (RBAC)
- Hands on experience utilising AI assisted development and automation tools to enhance workflows
- Ability to work autonomously and collaborate effectively with diverse project stakeholders Desirable Skills - Data modelling experience for both operational and analytical use cases
- Hands on experience with Lakehouse Federation for distributed querying
- Familiarity with Lakeflow Connect for advanced data ingestion and integration

📌 Data Engineer (Ourense)
🏢 Explore Group
📍 Ourense