Role

Las cualificaciones, habilidades y toda la experiencia relevante necesaria para este puesto se pueden encontrar en la descripción completa a continuación.

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 xsgfvud 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 (Madrid)
🏢 Explore Group
📍 Madrid