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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Domain Data Modeller - **Company:** SouthernWaterServices - **Location:** Worthing, UK - **Salary:** £78,902.0 - **Contract:** Permanent contract - **Skills:** Microsoft Azure, Big Data, Information Systems, Data Architecture, Information Engineering, Data Governance, Data Structures, Database Design, Database Queries, Dimensional Modeling, Distributed Systems, Python (Programming Language), Metadata, Meta-Data Management, Scrum Methodology, Azure Data Lake, SQL Databases, Cloud Platform System, Information Technology, Atlassian Tools, Data Management, Databricks - **Published:** September 13, 2026 - **Apply:** https://www.adzuna.co.uk/jobs/details/5881159339 ## About the Role We're looking for a skilled data modeller with strong technical foundations and the ability to collaborate effectively across technical and non-technical teams. You'll have: * Proven experience in domain or enterprise data modelling on large-scale data platforms * Strong understanding of data architecture, metadata management and data governance * Experience using data modelling tools such as Erwin or equivalent * Experience working with cloud-based data platforms (e.g. Azure Data Lake, Databricks) * Familiarity with data cataloguing and lineage tools (e.g. Microsoft Purview) * Strong SQL skills and experience with relational and dimensional modelling * The ability to translate complex business concepts into clear data structures * Experience working in agile delivery environments, including use of Jira and Confluence * Excellent problem-solving, communication and stakeholder engagement skills * The ability to manage multiple modelling activities across different business domains, * Enterprise and business architecture principles * Data governance frameworks such as DAMA * Data privacy, classification and handling principles * Change management practices for data models in distributed environments * Understanding of how data models support BI and analytics use cases, * Significant hands-on experience in data modelling projects, with experience designing and delivering Gold-layer data products in Databricks or a comparable modern lakehouse platform * Strong ability to understand business processes, information flows and source systems, translating them into conceptual, logical and physical data models that accurately represent business domains and provide a trusted foundation for analytics, reporting and data products * Experience in systems and database design, including relational and dimensional modelling techniques. * Experience collaborating with data engineers, analysts and business stakeholders and demonstrating ability to influence and build relationships across technical teams, architects, Product Owners and business stakeholders. * Hands-on Databricks experience, including SQL/Python * Strong communication skills and experience working with technical and business stakeholders. * Understanding of data quality, classification, privacy and governance principles, with the ability to embed them into model design Desirable * Degree in Computer Science, Information Systems, Data Science or a related discipline * Experience applying data quality, governance, metadata, lineage, security and privacy principles to BI and analytical solutions * Relevant certifications such as Certified Data Management Professional (CDMP) or Microsoft Azure Data Engineering certifications ## Description * Designing, implementing and maintaining conceptual, logical and physical data models aligned to business domains * Maintain and enhance the enterprise data catalogue, ensuring metadata, lineage and business definitions remain accurate and trusted * Translating business requirements into clear, well-structured data models in collaboration with Product Owners, Technical Lead and delivery teams * Contributing to solution architecture discussions, ensuring data models support scalability and long-term strategy * Working closely with Data Engineers to validate models against ingestion pipelines and sample data * Providing high-quality model documentation to support downstream development and analytics * Maintaining data modelling standards and best practices across squads * Applying change management principles to ensure consistency and traceability of model changes * Supporting governance and metadata management using recognised data modelling tools * Capturing and maintaining domain knowledge and model documentation * Engaging with architects, SMEs, governance and compliance teams as needed * Managing and contributing to modelling work within the squad's agile backlog * Actively participating in agile ceremonies, backlog refinement and sprint planning ## Related Videos - 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