Data Integration Engineer – ETL & Migrations (Insurance)

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

Job summary

Verisk Analytics, Inc. is seeking a Data Integration Developer to design data feeds, exports and migrations moving data between insurance claims systems and our data lake.

You'll join a team of six developers, contributing to a major data migration and modernization program, tackling messy real-world data and ensuring completeness and accuracy of data throughout the process. Ideal for someone who enjoys untangling complex datasets, validating data, and delivering reliable, scalable data

Qualifications

• Strong SQL skills in SQL Server or PostgreSQL.
• Experience building or supporting ETL processes, data feeds or data migrations.
• Programming or scripting experience.
• A methodical, detail‑oriented approach to tracing and resolving data problems.
• A love of technology and a desire to keep learning.

Responsibilities

• Support ETL processes and help define and apply ETL standards
• Build data migrations with automated reconciliation testing
• Investigate production data issues, finding and fixing inconsistent records
• Refresh and prepare realistic, protected data for test environments
• Onboard new customer data feeds and build data exports
• Work within the SDLC using Git, Jira and CI/CD pipelines
• Use AI‑assisted development tools for coding, code reviews and data investigation

Skills

SQL

ETL processes

Programming

Data quality

Learning mindset

Tools

AWS Glue

Aurora

DynamoDB

Python

JSON

CSV

Job description

Verisk Analytics, Inc. is seeking a Data Integration Developer to design data feeds, exports and migrations moving data between insurance claims systems and our data lake.

You'll join a team of six developers, contributing to a major data migration and modernization program, tackling messy real-world data and ensuring completeness and accuracy of data throughout the process. Ideal for someone who enjoys untangling complex datasets, validating data, and delivering reliable, scalable data