We’re working with a leading global specialty insurer to recruit a data engineer into a high-profile analytics function supporting underwriting, portfolio management, and risk strategy across international markets.
This is a genuinely embedded role within the underwriting business - not a back-office data function. You’ll sit at the intersection of data engineering, advanced analytics, and insurance risk, helping to modernise platforms, automate workflows, and deliver best-in-class exposure and catastrophe insights.
If you enjoy owning technical solutions end-to-end, influencing senior stakeholders, and working with complex insurance data, this role offers real scope and autonomy.
The Role
As part of a multi-disciplinary analytics team, you’ll take technical ownership of data engineering and analytical workflows that underpin exposure management and catastrophe analytics.
Key Responsibilities
* Designing and enhancing data pipelines and analytical workflows to improve efficiency, insight, and scalability

* Leading development initiatives to modernise legacy processes, improve methodologies, and enhance documentation

* Supporting platform upgrades, model changes, and troubleshooting complex technical issues

* Building automated tools using a modern data stack, with a focus on clean data, performance, and reusability

* Exploring opportunities to integrate AI and advanced automation into analytical workflows

* Partnering closely with underwriting, exposure management, and senior analytics leadership to shape the technical roadmap

* Acting as a technical mentor and raising data engineering capability across the team

What We’re Looking For
This role will suit someone from the insurance or reinsurance market with strong technical depth and a pragmatic, delivery-focused mindset.
Essential skills & experience:
* Strong programming capability in SQL (T-SQL / Dynamic SQL) and Python

* Proven data engineering experience, including ETL design, data cleansing, and transformation of complex exposure data

* Experience with text mining, regex, and unstructured data

* Hands-on database design, optimisation, and ongoing maintenance

* Experience integrating data via REST and SOAP APIs (XML, JSON, HTML)

* Comfortable managing multiple workstreams and engaging confidently with stakeholders

Desirable (but not essential):
* Experience working with catastrophe or exposure data

* Familiarity with industry-standard catastrophe models (e.g. Verisk)