Role: Data Platform Engineer (Databricks & dbt) Engagement: Contract / B2 B 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 (Madrid)
🏢 Explore Group
📍 Madrid