{"@context":"https://schema.org/","@type":"JobPosting","title":"Lead Azure Databricks Engineer - Insurance

Lloyd's
Manor Park, United Kingdom
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
£ 95K

Job location

Manor Park, United Kingdom

Tech stack

Unity
Automation of Tests
Azure
Cloud Engineering
Continuous Integration
Data as a Services
Data Governance
Data Systems
Hive
Python
Vault (Revision Control System)
Data Lake
PySpark
Data Management
Data Pipelines
Serverless Computing
Databricks

Job description

Working as part of a specialist consultancy, you'll guide clients through the design, build and optimisation of enterprise-scale Azure data platforms-shaping strategies, solving difficult engineering problems, and elevating engineering capability across engagements. What you'll do

  • Lead the engineering, optimisation and governance of Azure-based data platforms, spanning ADF, Data Lake, Azure Functions, Key Vault, Databricks, Delta Lake, PySpark and Unity Catalog.
  • Collaborate closely with insurance domain teams-Underwriting, Actuarial, Delegated Authority, Bordereaux, Exposure Management, Reinsurance, Finance, Risk and Solvency II-delivering solutions aligned to Lloyd's Market standards.
  • Translate business, regulatory and operational requirements into scalable and robust cloud data solutions.
  • Quickly diagnose and resolve high-complexity technical challenges, providing clear direction and decisive technical leadership.
  • Establish and champion best-practice patterns across data lifecycle management, CICD, architecture design principles and cloud-native engineering.
  • Provide mentoring, guidance and leadership to engineers across consulting engagements, setting the bar for delivery quality and engineering maturity.
  • Identify opportunities for performance improvements, cost reduction, platform resilience and automation.
  • Oversee the end-to-end development of data pipelines, ensuring reliability, observability and efficient operation.

Requirements

  • Expert-level hands-on experience with Azure data services and Databricks in enterprise-scale environments.
  • Strong knowledge of Delta Lake, Medallion architecture, distributed compute and Lakehouse engineering patterns.
  • Advanced Python, PySpark and Spark SQL skills, including deploying data workloads through Azure DevOps CICD, branching/merging and automated testing.
  • Solid understanding of data governance, lineage, access controls, FinOps practices and secure cloud engineering.
  • Excellent communication skills with the ability to articulate technical topics clearly to senior stakeholders and guide cross-functional discussions.
  • A strong delivery focus with a consistent track record of taking ownership and completing major engineering initiatives.
  • Experience operating in fast-paced consulting environments with evolving priorities and demanding timelines.
  • Essential: hands-on experience working within the Lloyd's of London / London Market insurance sector.

Benefits & conditions

  • £78,000-£95,000 base salary
  • Hybrid working model based in London
  • High-impact consulting role with exposure to top-tier insurance clients
  • Opportunity to influence cloud engineering standards and contribute to major data transformation initiatives

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