Database Engineer

Verisk Claims Solutions provides data, analytics and technology that help insurers, claims handlers and other organisations manage insurance claims more efficiently and accurately. Its solutions support the claims lifecycle, from assessing damage and estimating repair costs to identifying potential fraud, evaluating liability, automating workflows and supporting regulatory compliance. By combining specialist insurance expertise with advanced analytics and AI, Verisk Claims Solutions helps customers improve decision-making, control claims costs, streamline processes and deliver better outcomes for policyholders. We're looking for a Database Engineer to develop, tune and support the databases behind our insurance claims systems, keeping production data accurate and reliable. Working within a team of six Developers, you'll write database code, resolve production data issues and contribute to a major data migration and modernisation programme. Ideal for someone who enjoys writing efficient SQL, getting to the bottom of data problems and improving how things are done through standards and automation. Develop database code, including stored procedures, functions and schema changes Investigate production data incidents and apply tested, controlled data fixes Diagnose and improve query and database performance Build automated data checks, monitoring and alerts that catch issues early Test application compatibility during database patching and version upgrades Help define and apply database development and documentation standards Work within the SDLC using Git, Jira and CI/CD pipelines Use AI-assisted development tools for coding, code reviews and troubleshooting Essential Requirements: Strong SQL skills in SQL Server or PostgreSQL, including database design Programming or scripting experience Experience investigating and resolving data issues A methodical, detail-oriented approach to changing production data A love of technology and a desire to keep learning Highly Desirable: Performance tuning and query optimisation Python AWS cloud databases such as Aurora and DynamoDB Understanding of different database designs, such as relational, NoSQL, ledger and data warehouse star schemas GDPR and information security awareness Experience within Insurance, Claims, Fraud or Financial Services #LI-Hybrid