Database Developer

Salary: £55,000 - 55,000 per year

Requirements:

• Experience with SQL Server and PostgreSQL
• Experience creating, maintaining, and troubleshooting ETL processes
• Strong SQL skills, including complex joins, data reconciliation, and stored procedure development
• A detail-oriented, methodical, and self-directed approach to problem solving
• A love of technology and a desire to continuously learn and improve
• Experience with non-relational databases, particularly ledger-style data models
• Experience with databases in the AWS Cloud, such as Aurora, DynamoDB, and AWS Glue
• Experience with large, complex, or mixed-quality datasets
• Experience within Insurance, Claims, Fraud, or Financial Services
• GDPR and information security awareness
• Experience producing test data for QA environments
• Experience working with API integrations, such as JSON and RESTful APIs
• Experience with .NET

Responsibilities:

• Investigate and resolve data quality issues across multiple systems
• Develop ETL processes, data migrations, and reconciliation solutions to ensure data integrity
• Contribute to database design, performance, security, backup, and compliance standards
• Work within the SDLC using Git source control, JIRA, and CI/CD pipelines
• Manage database access, security, and availability requirements
• Use AI-assisted development tools

Technologies:

• AI
• API
• AWS
• AWS Glue
• CI/CD
• Cloud
• ETL
• Git
• Support
• JIRA
• JSON
• PostgreSQL
• SQL
• Security

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 30 week of 2026