Data Engineer
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Summary
Fully remote contract (B2B) role focused on optimising, governing, and administering an enterprise Databricks environment — SQL warehouse performance, workspace administration, and RBAC — while building and deploying dbt transformation pipelines and using AI tooling to automate platform tasks.
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