Data Engineer

Salary: £39,000 - 79,000 per year

Requirements:

• Strong SQL skills with experience querying and manipulating large datasets
• Strong Python experience in a data engineering environment
• Experience building, maintaining, or optimizing data pipelines and data processes
• Experience working with AWS data engineering technologies
• Understanding of data quality, validation, and governance practices
• Strong analytical and problem-solving skills
• Excellent attention to detail
• Ability to communicate complex technical concepts clearly and confidently
• Experience working with both technical and non-technical stakeholders
• A proactive approach to identifying and implementing process improvements
• Ability to manage priorities and deliver work in a fast-paced environment
• Experience with AWS Glue
• Experience deploying Python-based data engineering workloads into production environments
• Experience automating data workflows using cloud-native services
• Understanding of batch processing, scheduling, and scalable data solutions
• Experience within insurance, financial services, or another data-intensive industry

Responsibilities:

• Lead customer underwriting proof-of-concept (POC) projects from initial request through final delivery
• Work with customer-provided address data and match it to unique reference identifiers
• Extract, transform, and deliver risk intelligence data including factors such as flood, fire, and burglary risk
• Produce clear data outputs and supporting documentation, including data dictionaries, that allow customers to evaluate results
• Investigate data-quality questions, coverage issues, and customer queries to ensure confidence in delivered outputs
• Use SQL and Python to extract, manipulate, validate, and prepare complex datasets
• Collaborate with internal stakeholders to understand evolving business and customer requirements
• Support and enhance underwriting data platforms and associated data processes
• Work with the wider team to reduce single-person dependencies through knowledge sharing and cross-functional support
• Identify opportunities to automate manual activities within the POC lifecycle
• Leverage AWS technologies to improve scalability, efficiency, and repeatability of data processes
• Contribute ideas and recommendations that improve team effectiveness, data quality, and customer experience
• Maintain high-quality technical documentation and provide clear project updates to stakeholders

Technologies:

• AWS
• AWS Glue
• Cloud
• Support
• Python
• SQL
• AI

More:

We are Verisk, a global data, analytics, technology, and domain expertise company helping businesses manage risk and make confident decisions. Within Verisk General Insurance UK, we provide market-leading data and analytics solutions for insurers, brokers, and industry partners across property, motor insurance, fraud prevention, and claims. You will join our Norwich-based team, working in a collaborative environment with Data Analysts and an experienced Data Engineer, with opportunities for cross-training, knowledge sharing, and exposure to multiple areas of data engineering. We offer a competitive compensation package aligned with market benchmarks and experience, with eligible incentive opportunities, and benefits that vary by location but may include medical coverage, life insurance, pension plans, paid time off, wellness initiatives, fitness programs, and team-building activities. We are a Great Place to Work and value learning, caring, results, and a people-first culture focused on meaningful impact, collaboration, and career development.

last updated 39 week of 2026