{ “@context”: “http://schema.org”, “@type”: “JobPosting”, “title”: “Azure Databricks Platform Engineer”, “description”: “
Azure Platform Engineer – Contract – Fully Remote
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
Core Technical Requirements
Azure Platform Engineering
- 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
Please send me a copy of your CV if you're interested
#J-18808-Ljbffr”, “datePosted”: “2026-04-17”, “hiringOrganization”: { “@type”: “Organization”, “name”: “Jefferson Frank”, “sameAs”: “https://uk.whatjobs.com/pub_api__cpl__407097733__4861?utm_campaign=publisher&utm_medium=api&utm_source=4861&geoID=33” }, “jobLocation”: { “@type”: “Place”, “address”: { “@type”: “PostalAddress”, “addressLocality”: “London” } } }Company: Jefferson Frank
Location: London
Job Description:
Azure Platform Engineer – Contract – Fully Remote
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
Core Technical Requirements
Azure Platform Engineering
- 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
Please send me a copy of your CV if you’re interested
#J-18808-Ljbffr…
Posted: April 17th, 2026