About this role
Salary: £55,000 - 55,000 per year
Requirements: Experience with SQL Server and PostgreSQLExperience creating, maintaining, and troubleshooting ETL processesStrong SQL skills, including complex joins, data reconciliation, and stored procedure developmentA detail-oriented, methodical, and self-directed approach to problem solvingA love of technology and a desire to continuously learn and improveExperience with non-relational databases, particularly ledger-style data modelsExperience with databases in the AWS Cloud, such as Aurora, DynamoDB, and AWS GlueExperience with large, complex, or mixed-quality datasetsExperience within Insurance, Claims, Fraud, or Financial ServicesGDPR and information security awarenessExperience producing test data for QA environmentsExperience working with API integrations, such as JSON and RESTful APIsExperience with .NET Responsibilities: Investigate and resolve data quality issues across multiple systemsDevelop ETL processes, data migrations, and reconciliation solutions to ensure data integrityContribute to database design, performance, security, backup, and compliance standardsWork within the SDLC using Git source control, JIRA, and CI/CD pipelinesManage database access, security, and availability requirementsUse AI-assisted development tools Technologies: AIAPIAWSAWS GlueCI/CDCloudETLGitSupportJIRAJSONPostgreSQLSQLSecurity More:
We are Verisk, a global leader in data analytics and technology, helping businesses make smarter decisions, manage risk, and improve outcomes. Our solutions serve insurance, financial services, and many other industries by combining deep industry expertise with leading technology to solve complex challenges at scale. We are looking for a Database Developer to join a team of six Database Developers and help with integrations, production support, data issue investigation, and a major data migration and modernisation programme. This role is ideal for someone who enjoys untangling complex data problems, validating migration outcomes, and working with messy real-world datasets.
last updated 31 week of 2026