Azure Databricks Platform Engineer

We're seeking experienced Azure Platform Engineers to support a large-scale cloud and data platform transformation. This role sits within a modern Azure and Databricks environment where engineering quality, precision, and clear communication are critical. Remote Outisde IR35 6 months

• Strong hands-on experience building and operating Azure cloud platforms
• Deep understanding of Azure compute, storage, networking, identity, resource organisation, and governance
• Experience implementing secure, scalable Azure environments following enterprise architectural standards
• Ability to design and support foundational platform components used by data and engineering teams

Terraform (Infrastructure-as-Code)

• Solid production experience delivering Azure infrastructure exclusively via Terraform
• Strong competency with module structure, state management, variable design, and code reuse
• Experience integrating Terraform with existing tooling and workflows for controlled deployments
• Ability to produce clean, maintainable, well-structured Terraform code aligned to engineering best practice

Databricks

• Practical experience administering or engineering Databricks platforms
• Strong understanding of workspace configuration, cluster settings, compute policies, secrets, and access controls
• Knowledge of managing Databricks jobs, pipelines, and workspace resources in an enterprise setup
• Ability to work closely with data teams to ensure platform stability, performance, and governance

Unity Catalog

• Hands-on experience with Unity Catalog for data governance, access control, and lineage
• Understanding of catalogs, schemas, tables, securable objects, and permission models
• Knowledge of migrating from Legacy Hive Metastore to Unity Catalog
• Ability to implement structured governance frameworks across multiple Databricks workspaces