Data Engineer
Role Overview
Verisk is seeking a Data Engineer for its Norwich-based team to deliver customer-facing data solutions.
The role combines data engineering, customer impact, technical ownership, and work with large-scale insurance datasets.
The engineer will lead underwriting proof-of-concept projects and help automate and scale data delivery across the business.
Key Skills for This Role
Full Job Posting
About Verisk General Insurance UK
Verisk provides data, analytics, technology, and domain expertise to help businesses manage risk and improve performance.
The General Insurance UK business provides data and analytics solutions for insurers, brokers, and industry partners across property, motor insurance, fraud prevention, and claims.
Role Overview
Verisk is seeking a Data Engineer for its Norwich-based team to deliver customer-facing data solutions.
The role combines data engineering, customer impact, technical ownership, and work with large-scale insurance datasets.
The engineer will lead underwriting proof-of-concept projects and help automate and scale data delivery across the business.
Key Responsibilities
- Lead customer underwriting proof-of-concept projects from initial request through final delivery.
- Match customer-provided address data to unique reference identifiers and deliver risk intelligence data.
- Produce data outputs and supporting documentation, including data dictionaries, for customer evaluation.
- Investigate data-quality questions, coverage issues, and customer queries.
- Use SQL, Python, and AWS technologies to prepare, validate, automate, and scale data processes.
- Support underwriting data platforms, maintain documentation, and provide project updates.
- Collaborate with technical and non-technical stakeholders and contribute to knowledge sharing.
Required Qualifications
- Strong SQL skills and 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 with AWS data engineering technologies.
- Understanding of data quality, validation, and governance practices.
- Strong analytical, problem-solving, communication, and prioritization skills.
- Experience working with both technical and non-technical stakeholders.
Preferred Skills
- Experience with AWS Glue is preferred.
Workplace
- The role is described as Norwich-based and includes a hybrid work indication.
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