https://jobs.co.uk/job/azure-databricks-engineer-huxley-associates--28df28cd-5af1-40d0-9bc0-c117d88dc196 RSS feed for Azure Databricks Engineer at Huxley Associates. en-gb Tue, 28 Apr 2026 21:25:28 GMT https://jobs.co.uk/job/azure-databricks-engineer-huxley-associates--28df28cd-5af1-40d0-9bc0-c117d88dc196 https://jobs.co.uk/job/azure-databricks-engineer-huxley-associates--28df28cd-5af1-40d0-9bc0-c117d88dc196 Wed, 08 Apr 2026 11:52:35 GMT Location: City | Salary: 140000.00-140000.00 Annual | Type: Permanent | This is a rare opportunity to apply serious data engineering in a domain where latency, correctness, and reliability carry direct commercial weight. Requirements 6+ years data engineering in production environments; Python expertise - idiomatic, well-tested, production-grade code, not notebook scripts ETL/ELT pipeline design and implementation at scale; orchestration with Airflow, Prefect, or equivalent; reliability-first mindset including backfill, retry, and exactly-once semantics Azure data platform - Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Data Lake Storage; infrastructure as code for data workloads (Terraform or Bicep) Databricks - Delta Lake, Unity Catalog, job cluster vs interactive cluster trade-offs, cost-aware compute management, Spark job optimisation Relational databases: PostgreSQL at production scale - query optimisation, indexing strategies, table partitioning, replication, schema design for both OLTP and analytical workloads MongoDB - document modelling, aggregation pipelines, indexing strategy, replica sets; clear judgment on when document vs relational storage is the right architectural call Containerisation: Docker and Kubernetes-base... Permanent