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Databricks Lead Engineer

Anson McCadeLondon🇬🇧United KingdomPosted 31 Aug 2026

Quick Overview

Salary
£575/hr
Seniority
Mid Senior
Employment type
Full Time
Work mode
Hybrid
Location
London, United Kingdom
Posted
1 week ago
Unity

Job Description

££575 GBP

Hybrid WORKING

Location: Central London, Greater London - United Kingdom Type: Contract

NEW CONTRACT ROLE - DATABRICKS LEAD ENGINEER

A new opportunity has just landed for an experienced, hands-on Databricks Lead Engineer to join a major data transformation programme.

We're looking for someone with strong recent experience delivering modern, production-grade data platforms on Databricks. This is a hands-on technical leadership role, so we're looking for someone who can lead engineering delivery and design solutions, rather than simply work from an existing blueprint.

Location: London - 3 days per week on-site

Rate: Up to £575 per day

Contract: Inside IR35

Duration: 6 months initial contract with potential extension

Start: ASAP

Key requirements

  • 2+ years of recent, hands-on Databricks experience delivering production solutions
  • Active/current Databricks certification - Data Engineer, Machine Learning or Generative AI
  • Strong experience designing and implementing Databricks Lakehouse architectures
  • Hands-on implementation of Medallion Architecture - Bronze, Silver and Gold layers
  • Experience with Unity Catalog, including governance, access control, lineage and secure data sharing
  • Strong experience building Declarative Pipelines / DLT, including Expectations, data quality, failure handling and observability
  • Experience with Databricks-native ingestion approaches such as AutoLoader and/or Lakeflow Connect
  • Strong PySpark and SQL skills
  • Delta Lake experience, including MERGE, schema evolution, optimisation and performance tuning
  • Experience with Databricks Workflows and production pipeline orchestration
  • Strong understanding of CI/CD, testing, monitoring, alerting, incident triage and operational best practice
  • Ability to mentor engineers and act as the technical escalation point within the delivery team

Nice-to-have experience includes

  • Mosaic AI, Vector Search, model serving or RAG pipelines
  • Lakeflow ingestion connectors
  • Row-level security, column masking and sensitive data handling through Unity Catalog
  • Databricks performance optimisation, including Photon, cluster sizing, partitioning and shuffle/skew mitigation
  • Cost optimisation and understanding of Databricks compute and DBU drivers

This is a great opportunity for a technically strong Databricks specialist who wants to take ownership of engineering delivery and help shape a modern enterprise data platform.

If you're interested, or know someone who could be a good fit, please get in touch.

#Databricks #DataEngineering #DataEngineer #Lakehouse #PySpark #DeltaLake #UnityCatalog #DataJobs #ContractJobs #LondonTech #InsideIR35

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