Database Engineer

In this role, you will develop and tune databases for our insurance claims systems, ensuring accurate production data. You’ll be part of a small team driving a data migration and modernization programme, applying efficient SQL and automation to reduce incidents. You will work with cross-functional teams to improve performance and data quality, shaping how data supports claims outcomes. This is an opportunity to leverage AI-assisted tooling and modern data practices in a global insurance context.

• medical coverage
• life insurance
• pension plans
• paid time off
• wellbeing initiatives
• team-building activities

• 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

• 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
• Performance tuning and query optimisation (desirable)
• Python (desirable)
• AWS cloud databases such as Aurora and DynamoDB (desirable)
• Understanding of relational, NoSQL, ledger and data warehouse star schemas (desirable)
• GDPR and information security awareness (desirable)
• Experience within Insurance, Claims, Fraud or Financial Services (desirable)

• detail-oriented
• continuous learner
• problem-solving
• SQL Server
• PostgreSQL
• Python