Platform Engineer (AWS / Databricks)

• 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.

Technologies:

• AWS
• CI/CD
• Cloud
• Databricks
• Exposed
• GitHub
• GitLab
• Hive
• IAM
• Support
• JSON
• Python
• PySpark
• SQL
• Terraform
• Unity
• GameDev, We are a leading global IT transformation business specialising in large-scale Government projects. We are offering a 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.

• 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 workspaces 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, GitLab and GitHub 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.