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 (Madrid)
🏢 Explore Group
📍 Madrid