Data Engineer

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.

La siguiente información tiene como objetivo proporcionar a los posibles candidatos una mejor comprensión de los requisitos para este puesto.

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