Databricks Data Engineer - Hybrid (London) - Azure Data Services - Enterprise Data Platforms - up to £95,000
If you're looking for a role where your work has impact, this is a great opportunity. You'll be joining an organisation working with some of the most complex data challenges in the insurance and financial services sector, operating in a highly regulated and analytically demanding environment.
You’ll help build large-scale cloud data platforms, modernise critical data flows, and play a meaningful role in shaping long-term Azure and Databricks strategy. The business invests heavily in wellbeing and development, offering mental-health support and access to extensive training resources and certifications. If you enjoy solving real technical problems, influencing engineering decisions, and working with people who care about building things properly, you’ll fit right in.
You'll Work With
- Azure Data Factory, Data Lake, Key Vault, Azure Functions
- Databricks, Delta Lake, Unity Catalog, PySpark, Spark SQL
- Medallion architecture, Lakehouse patterns, distributed compute
- CI/CD pipelines using Azure DevOps
- Cross-functional teams in underwriting, actuarial, delegated authority, exposure management, reinsurance, finance and regulatory reporting
- Architects, SMEs and senior stakeholders who value clear communication and strong engineering principles
- End-to-end delivery of reliable, scalable, observable data pipelines
Day-to-day, you’ll be
- Designing and improving modern cloud data platforms
- Translating business and regulatory requirements into scalable architecture
- Solving complex engineering challenges and driving best practices
- Ensuring pipelines run reliably and efficiently
- Supporting engineers and influencing strategic technical decisions
Benefits
- Competitive pension and long-term savings schemes
- Generous training and professional development allowance
- Access to extensive courses and certifications
- Childcare support options
- Wellbeing-focused culture with mental-health support programmes
- Inclusive hiring approach supporting applicants with disabilities
- Hybrid working across office, client sites and home
You'll thrive in this role if you have
- Strong hands‑on experience with Azure Data Services and Databricks
- Solid understanding of Delta Lake, Medallion architecture and Lakehouse patterns
- Proficiency in Python, PySpark and Spark SQL
- Experience building CI/CD pipelines using Azure DevOps
- Knowledge of data governance, lineage, access controls and FinOps
- Confident communication skills and ability to work with senior stakeholders
- Experience in fast‑paced, highly regulated environments
Roles offering this level of technical influence and enterprise‑scale engineering don't come around often.
Apply now or send your CV directly!
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