Catastrophe Risk Developer/Data Engineer

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)