Data Engineer
Verisk Analytics · Norwich, United Kingdom ·
- Category
- Data engineering
A data engineer at Verisk builds and delivers customer-facing underwriting data solutions for UK general insurance, leading proof-of-concept projects on large insurance datasets. Day to day involves SQL and Python data manipulation, pipeline work, and AWS-based automation to improve data quality and scalability.
As a Data Engineer at Verisk, you will own customer-facing data solutions for underwriting in the General Insurance UK space. You’ll work with large insurance datasets, lead end-to-end proof-of-concept projects, and help shape scalable data delivery and automation across the business. The role combines data engineering work with direct customer impact and cross-team collaboration to improve data quality and product adoption. You’ll operate in a cloud-first environment, mainly using AWS and Python, to drive measurable value for insurers and partners.
Pay / Benefits- medical coverage
- life insurance
- pension plans
- paid time off
- wellbeing initiatives
- fitness programs
- Lead customer underwriting proof-of-concept projects from request to delivery
- Work with customer-provided address data and map to unique identifiers
- Extract, transform, and deliver risk intelligence data (e.g., flood, fire, burglary)
- Produce clear outputs and documentation including data dictionaries
- Investigate data-quality questions and coverage issues for confidence in outputs
- Use SQL and Python to manipulate and validate complex datasets
- Collaborate with internal stakeholders to understand evolving requirements
- Support and enhance underwriting data platforms and related processes
- Promote knowledge sharing and cross-training to reduce single-person dependencies
- Identify opportunities to automate manual activities within the POC lifecycle
- Leverage AWS technologies to improve scalability, efficiency, and repeatability
- Contribute ideas to improve data quality and customer experience
- Maintain high-quality technical documentation and provide clear project updates
- Strong SQL skills for querying and manipulating large datasets
- Strong Python experience in a data engineering environment
- Experience building, maintaining, or optimizing data pipelines and processes
- Experience with AWS data engineering technologies
- Understanding of data quality, validation, and governance practices
- Strong analytical and problem-solving skills
- Excellent attention to detail
- Effective communication with technical and non-technical stakeholders
- Proactive approach to process improvements
- Ability to manage priorities in a fast-paced environment
- collaboration
- curiosity
- initiative
- SQL
- Python
- AWS