Database Engineer - Insurance Claims & Analytics

Verisk Analytics, Inc.; Norwich; On-site; GBP 30,000 - 55,000; Full time

Job summary

Verisk Analytics, Inc. in the United Kingdom is seeking a Database Engineer to develop, tune and support the databases behind our insurance claims systems, ensuring production data remains accurate, reliable and auditable.

Within a team of developers, you will write database code, resolve data incidents and contribute to a major data migration and modernisation programme. Ideal candidates enjoy efficient SQL and improving data quality through automated checks and standards.

Qualifications

• 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.

Responsibilities

• 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.

Skills

SQL

Programming

Data issues

Attention to detail

Learning mindset

Tools

SQL Server

PostgreSQL

Python

AWS

Job description

Verisk Analytics, Inc. in the United Kingdom is seeking a Database Engineer to develop, tune and support the databases behind our insurance claims systems, ensuring production data remains accurate, reliable and auditable.

Within a team of developers, you will write database code, resolve data incidents and contribute to a major data migration and modernisation programme. Ideal candidates enjoy efficient SQL and improving data quality through automated checks and standards.