Role: Data Platform Engineer (Databricks & dbt)Engagement: Contract / B2BLocation: Fully RemoteAn experienced Data Platform professional is required to join an enterprise data initiative, focusing on the optimisation, governance, and administration of a modern Databricks environment.Revise detenidamente toda la documentación de la solicitud antes de hacer clic en el botón de solicitar al final de esta descripción.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 collaborationEssential 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 xqysrnh 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 stakeholdersDesirable 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

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