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Platform Engineer; AWS​/Databricks

Job in City Of London, Central London, Greater London, England, UK
Listing for: Syntax Consultancy Ltd
Part Time, Contract position
Listed on 2026-05-21
Job specializations:
  • IT/Tech
    Data Engineer, Cloud Computing
Salary/Wage Range or Industry Benchmark: 600 GBP Daily GBP 600.00 DAY
Job Description & How to Apply Below
Position: Platform Engineer (AWS / Databricks)
Location: City Of London

Platform Engineer (AWS / Databricks)

London (Hybrid)

6 Month Contract

£600/day (Inside IR35)

Platform Engineer needed with strong AWS, Databricks and Unity Catalog experience. Start ASAP in May/June 2026.

6 Month Rolling Contract based in London (Hybrid), with occasional travel to the Leeds office.

Hybrid Working - 3-4 days/week remote (WFH) + 1-2 days/week working from the office in London.

A chance to work with a leading global IT transformation business specialising in large-scale Government projects:

  • Supporting secure integration between AWS hosted data sources, Databricks work spaces and downstream enterprise data platforms.
  • Design and support secure integration across AWS S3, Databricks and downstream data platforms.
  • Strong hands‑on experience with AWS IAM, S3, KMS and secure cloud access patterns.
  • 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.
  • Scope includes data held in S3, registered through Databricks Hive Metastore, governed or exposed through Unity Catalog, and consumed through approved connector‑based patterns.
  • Configure least‑privilege access to S3 using IAM roles, bucket policies, KMS permissions and approved access controls.
  • Support Databricks access patterns where S3‑backed data is registered through Hive Metastore and exposed 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.
  • Technical Environment: AWS, Databricks, Unity Catalog, Palantir Foundry, Terraform, IaC, Delta, Parquet, CSV, JSON, Python, PySpark, SQL, CI/CD, Git Lab, Git Hub Actions.
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