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 (Lugo)
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📍 Lugo