Data Engineer

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.

• 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