The Role
Our client is a leading insurance organisation undergoing a significant period of data and technology transformation.
They are looking for an experienced Data Modeller to help establish a common, pragmatic approach to data modelling across multiple business units and domains.
You will play a key role in ensuring data assets brought onto the new platform are consistent, interoperable and reusable, supporting both reporting and analytical use cases while maintaining strong data quality and structure.
Insurance experience would be beneficial but is not essential. The client is open to candidates from other industries who have strong enterprise data modelling experience and are comfortable learning a new domain.
Key Responsibilities
- Develop and implement a practical, consistent approach to data modelling across different data products and business domains.
- Align data structures across multiple source systems to improve consistency and interoperability.
- Design models that support reusable enterprise data assets, reporting and analytical use cases.
- Work closely with data and technology teams to understand requirements and translate them into effective data models.
- Balance the need for rapid delivery with long-term data quality, scalability and structural coherence.
- Contribute to the development of data modelling standards and best practices across the organisation.
Key Skills & Experience
- Strong hands-on experience in data modelling within enterprise environments.
- Experience working with modern data platforms, likes Erwin, DevOps, SQL, Python, Databricks and GCP
- Experience with data products and analytical use cases
- Strong understanding of data structures, relationships and modelling principles.
- Experience working across multiple business domains and source systems.
- A pragmatic, delivery-focused approach with the ability to work effectively in a fast-moving transformation environment.
- Strong communication skills and the ability to collaborate with both technical and business stakeholders.
- Insurance experience is desirable but not essential.
Working Arrangement
The successful candidate will be required to work onsite one day per week, with the option to be based in either London or York, working remotely for the remainder of the week.