Data Engineer

{ “@context”: “http://schema.org”, “@type”: “JobPosting”, “title”: “Data Engineer”, “description”: “

Job title: Data Engineer


This role is paying up to £80,000 p/a and is hybrid working in London.


**Must have insurance experience**


Role overview


We are looking for a Data Engineer with strong technical skills and experience in the insurance sector to join a fast-paced data team.


Key Responsibilities

  • Build and maintain scalable data pipelines (full ETL lifecycle)
  • Perform data cleaning, transformation, and integration
  • Work with Microsoft Fabric, Notebooks, Python, and PySpark
  • Manage and develop solutions using SQL Server and Cosmos DB
  • Handle multiple data formats and support data processing workflows
  • Collaborate closely with Data Engineering and Business Intelligence teams across onshore and offshore locations


Requirements

  • Proven experience as a Data Engineer
  • Strong skills in Python, PySpark, and Microsoft Fabric
  • Experience with SQL Server and Cosmos DB
  • Ability to design and deliver ETL pipelines
  • Comfortable working in high-pressure environments


Desirable

  • Insurance industry experience (ideally 2+ years)
  • Experience within insurers or carriers strongly preferred


We are seeking a resilient, adaptable engineer who can thrive in a collaborative and fast-moving insurance data environment.

”, “datePosted”: “2026-05-10”, “hiringOrganization”: { “@type”: “Organization”, “name”: “JSS”, “sameAs”: “https://uk.whatjobs.com/pub_api__cpl__428836303__4861?utm_campaign=publisher&utm_medium=api&utm_source=4861&geoID=33” }, “jobLocation”: { “@type”: “Place”, “address”: { “@type”: “PostalAddress”, “addressLocality”: “London” } } }
Company: JSS
Apply for the Data Engineer
Location: London
Job Description:

Job title: Data Engineer

This role is paying up to £80,000 p/a and is hybrid working in London.

**Must have insurance experience**

Role overview

We are looking for a Data Engineer with strong technical skills and experience in the insurance sector to join a fast-paced data team.

Key Responsibilities

  • Build and maintain scalable data pipelines (full ETL lifecycle)
  • Perform data cleaning, transformation, and integration
  • Work with Microsoft Fabric, Notebooks, Python, and PySpark
  • Manage and develop solutions using SQL Server and Cosmos DB
  • Handle multiple data formats and support data processing workflows
  • Collaborate closely with Data Engineering and Business Intelligence teams across onshore and offshore locations

Requirements

  • Proven experience as a Data Engineer
  • Strong skills in Python, PySpark, and Microsoft Fabric
  • Experience with SQL Server and Cosmos DB
  • Ability to design and deliver ETL pipelines
  • Comfortable working in high-pressure environments

Desirable

  • Insurance industry experience (ideally 2+ years)
  • Experience within insurers or carriers strongly preferred

We are seeking a resilient, adaptable engineer who can thrive in a collaborative and fast-moving insurance data environment.

Posted: May 10th, 2026