SQL Database Engineer: Performance & Data Quality

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

Job summary

Verisk Analytics is seeking 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 candidates enjoy writing efficient SQL, diagnosing data problems and improving processes through standards and automation, with opportunities to work

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

SQL Server

PostgreSQL

Scripting

Data issues

Attention to detail

Curiosity

Job description

Verisk Analytics is seeking 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 candidates enjoy writing efficient SQL, diagnosing data problems and improving processes through standards and automation, with opportunities to work