Data Platform & DevOps Engineer

About the role

We are seeking a Data Platform & DevOps Engineer to manage and optimise our Databricks environment. The role ensures platform stability, security, and cost efficiency while supporting data teams through automation and standardised processes.

Key responsibilities

• Administer Databricks workspaces (DEV, TEST, PROD) and manage user access, roles, and permissions.
• Coordinate identity provisioning via Azure AD or AWS IAM and collaborate on connectivity, storage, and security.
• Oversee notebook, job, cluster, and SQL Warehouse access; configure clusters and enforce usage policies.
• Support Unity Catalog governance, access controls, and data ownership.
• Maintain platform security standards, audit readiness, and compliance documentation.
• Implement CI/CD pipelines for Databricks deployments using Git‑based workflows.
• Automate lifecycle management with Terraform, Databricks CLI, and REST APIs.
• Monitor platform usage, identify optimisation opportunities, and contribute to cost‑tracking and tagging practices.

Required profile

• Master’s degree (Bac+5) in Computer Science, Software Engineering, Data Engineering or a related field.
• Minimum 1 year of experience as a Data Platform Engineer.
• Strong analytical and troubleshooting abilities.
• Proactive, structured work style and ability to collaborate in an international environment.

Required skills

• Databricks administration (workspace, access, clusters, Unity Catalog).
• Azure cloud services (preferred) or other cloud providers (AWS/GCP).
• Infrastructure as Code – Terraform (preferred).
• Git, CI/CD concepts, Databricks CLI, Asset Bundles, REST API.
• Scripting with Python or Bash.
• Identity management via Azure AD or AWS IAM.