About the Role
<p><strong>Platform Engineer (AWS / Databricks)<br />
London (Hybrid)<br />
6 Month Contract<br />
£600/day (Inside IR35)</strong></p>
<p><em>Platform Engineer</em> needed with strong AWS, Databricks and Unity Catalog experience. Start ASAP in May/June 2026.</p>
<p>6 Month Rolling Contract based in <em>London</em><strong> </strong>(Hybrid), with occasional travel to the <em>Leeds<strong> </strong></em>office.</p>
<p>Hybrid Working – 3-4 days/week remote (WFH) + 1-2 days/week working from the office in <em>London</em>.</p>
<p>A chance to work with a leading global IT transformation business specialising in large-scale Government projects:</p>
<ul>
<li>Supporting secure integration between AWS hosted data sources, Databricks workspaces and downstream enterprise data platforms.</li>
<li>Design and support secure integration across AWS S3, Databricks and downstream data platforms.</li>
<li>Strong hands-on experience with AWS IAM, S3, KMS and secure cloud access patterns.</li>
<li>Hands-on Databricks on AWS experience, including Hive Metastore, Delta tables, SQL Warehouse and workspace access controls.</li>
<li>Practical Unity Catalog experience, including grants, external locations, storage credentials and governed data access.</li>
<li>Scope includes data held in S3, registered through Databricks Hive Metastore, governed or exposed through Unity Catalog, and consumed through approved connector-based patterns.</li>
<li>Configure least-privilege access to S3 using IAM roles, bucket policies, KMS permissions and approved access controls.</li>
<li>Support Databricks access patterns where S3-backed data is registered through Hive Metastore and exposed or migrated into Unity Catalog.</li>
<li>Configure and validate Unity Catalog objects, including catalogs, schemas, tables, views, grants, storage credentials and external locations.</li>
<li>Support downstream connectivity to Databricks using SQL Warehouse, tables, views or connector-based integration patterns.</li>
<li>Develop Terraform/IaC for AWS IAM, S3, KMS and Databricks-related configuration.</li>
<li>Troubleshoot access, metadata, schema, query and connectivity issues across AWS, Databricks and downstream integrations.</li>
<li><em>Technical Environment:</em> AWS, Databricks, Unity Catalog, Palantir Foundry, Terraform, IaC, Delta, Parquet, CSV, JSON, Python, PySpark, SQL, CI/CD, GitLab, GitHub Actions.</li>
</ul>
<p> </p>