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.

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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 xkdbapo 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 (Antas de Ulla)
🏢 Explore Group
📍 Antas de Ulla