Data Engineer - Explore Group
Summary
Fully remote contract (B2B) Data Platform Engineer role focused on optimising, governing, and administering an enterprise Databricks environment. Day to day involves SQL Warehouse tuning, workspace administration, RBAC security, and building dbt transformation pipelines, with AI-assisted automation.
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.
Siga leyendo para comprender completamente lo que este trabajo requiere en cuanto a habilidades y experiencia. Si su perfil encaja, presente su candidatura.
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 xqbhyrx (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