Platform Engineer; AWS​/Databricks

Salary: £? - ? per year

• Strong hands‑on experience with AWS, including IAM, S3, KMS and secure cloud access patterns.
• Strong hands‑on Databricks on AWS experience, including Hive Metastore, Delta tables, SQL Warehouse and workspace access controls.
• Practical Unity Catalog experience, including grants, external locations, storage credentials and governed data access.
• Experience supporting secure integration between AWS‑hosted data sources, Databricks work spaces and downstream enterprise data platforms.
• Experience configuring least‑privilege access to S3 using IAM roles, bucket policies, KMS permissions and approved access controls.
• Experience supporting Databricks access patterns where S3‑backed data is registered through Hive Metastore and exposed or migrated into Unity Catalog.
• Experience troubleshooting access, metadata, schema, query and connectivity issues across AWS, Databricks and downstream integrations.
• Experience developing Terraform/IaC for AWS IAM, S3, KMS and Databricks‑related configuration.
• Exposure to Palantir Foundry, Delta, Parquet, CSV, JSON, Python, PySpark, SQL, CI/CD, Git Lab and Git Hub Actions is beneficial.
• Ability to start ASAP in May/June 2026.
• Experience working in a hybrid environment and willingness to travel occasionally to Leeds.
• Contract experience within large‑scale government or enterprise transformation programmes is highly desirable.

• Design and support secure integration across AWS S3, Databricks and downstream data platforms.
• Support Databricks access patterns where S3‑backed data is registered through Hive Metastore and governed or migrated into Unity Catalog.
• Configure and validate Unity Catalog objects, including catalogs, schemas, tables, views, grants, storage credentials and external locations.
• Support downstream connectivity to Databricks using SQL Warehouse, tables, views or connector‑based integration patterns.
• Develop Terraform/IaC for AWS IAM, S3, KMS and Databricks‑related configuration.
• Troubleshoot access, metadata, schema, query and connectivity issues across AWS, Databricks and downstream integrations.
• Work with approved connector‑based patterns to expose governed data to downstream enterprise platforms.
• Support secure cloud access and governance across the platform estate.
• Collaborate on the delivery of large‑scale government transformation projects.

6‑month rolling contract for a Platform Engineer based in London on a hybrid working model, with 3‑4 days per week remote and 1‑2 days per week in the office, plus occasional travel to our Leeds office. This is an inside IR35 role with the opportunity to work on secure, enterprise‑grade data platform integration across AWS and Databricks in a high‑impact environment.