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Databricks Data Engineer

Cyber Security training courses

Greater London

Hybrid

GBP 80,000 - 95,000

Full time

Today
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Job summary

A leading technology company in Greater London is seeking a skilled Databricks Data Engineer to design and improve cloud data platforms. In this hybrid role, you'll work with Azure Data Services and Databricks, ensuring reliable data pipelines while influencing strategic decisions. Ideal candidates will have strong experience in Azure, CI/CD pipelines, and a solid understanding of modern data architecture. The organization offers a supportive culture with extensive training resources, competitive benefits, and a focus on wellbeing.

Benefits

Competitive pension and savings schemes
Generous training and professional development allowance
Childcare support options
Wellbeing-focused culture

Qualifications

  • Strong hands-on experience with Azure Data Services and Databricks.
  • Proficiency in Python, PySpark and Spark SQL.
  • Experience building CI/CD pipelines using Azure DevOps.

Responsibilities

  • Designing and improving modern cloud data platforms.
  • Translating business and regulatory requirements into scalable architecture.
  • Ensuring pipelines run reliably and efficiently.

Skills

Hands-on experience with Azure Data Services
Solid understanding of Delta Lake
Proficiency in Python
Experience building CI/CD pipelines
Knowledge of data governance
Confident communication skills

Tools

Databricks
Azure Data Factory
Azure DevOps
PySpark
Job description
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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