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
... competitivo según experiencia. Si te interesa o conoces a alguien que pueda encajar, puedes escribirme por mensaje privado o enviar tu CV a [email protected]. #DataEngineer #AWS #DataPlatform #DBT #Python #SQL #Fintech #DataJobs #Madrid #DataEngineering #AnalyticsEngineering #CloudData #Hiring #Hays #AWSJobs [{"name": "empleo_permanente", ...
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