Closing Date
2026-05-26
Domain Data Modeller
Location: Hybrid – Durrington
Hours: 37 hours per week
Contract: Permanent
Salary: Competitive + benefits
Who are we?
Southern Water is on a major data transformation journey to build a modern, trusted data platform that supports operational performance, regulatory outcomes and better decision‑making across the business. Data modelling is a core capability within this transformation, underpinning analytics, reporting and data products across our organisation.
The role
As a Domain Data Modeller, you will be a key member of a domain‑aligned agile squad, responsible for designing and maintaining scalable, business‑aligned data models that support analytics, reporting and data products.
You’ll work closely with Product Owners, Data Engineers, BI Engineers, architects and business stakeholders to ensure data models accurately represent business domains and align with enterprise architecture and governance frameworks. You will also play a critical role in ensuring that metadata, lineage and catalogue information remains accurate and trusted across the data platform.
This role is ideal for someone who enjoys working at the intersection of business and technology, shaping how data is structured, governed and consumed across an organisation.
What you’ll be doing
1. Designing, implementing and maintaining conceptual, logical and physical data models aligned to business domains
2. Ensuring metadata and lineage are accurately captured and maintained within the enterprise data catalogue
3. Translating business requirements into clear, well‑structured data models in collaboration with Product Owners and delivery teams
4. Contributing to solution architecture discussions, ensuring data models support scalability and long‑term strategy
5. Working closely with Data Engineers to validate models against ingestion pipelines and sample data
6. Providing high‑quality model documentation to support downstream development and analytics
7. Maintaining data modelling standards and best practices across squads
8. Applying change management principles to ensure consistency and traceability of model changes
9. Supporting governance and metadata management using recognised data modelling tools
10. Capturing and maintaining domain knowledge and model documentation
11. Engaging with architects, SMEs, governance and compliance teams as needed
12. Managing and contributing to modelling work within the squad’s agile backlog
13. Actively participating in agile ceremonies, backlog refinement and sprint planning
What we’re looking for
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:
14. Proven experience in domain or enterprise data modelling on large‑scale data platforms
15. Strong understanding of data architecture, metadata management and data governance
16. Experience using data modelling tools such as Erwin or equivalent
17. Experience working with cloud‑based data platforms (e.g. Azure Data Lake, Databricks)
18. Familiarity with data cataloguing and lineage tools
19. Strong SQL skills and experience with relational and dimensional modelling
20. The ability to translate complex business concepts into clear data structures
21. Experience working in agile delivery environments, including use of Jira and Confluence
22. Excellent problem‑solving, communication and stakeholder engagement skills
23. The ability to manage multiple modelling activities across different business domains
Technical knowledge (desirable)
24. Enterprise and business architecture principles
25. Data governance frameworks such as DAMA
26. Data privacy, classification and handling principles
27. Change management practices for data models in distributed environments
28. Understanding of how data models support BI and analytics use cases
Qualifications
Essential
29. Hands‑on experience in data modelling projects
30. Experience collaborating with data engineers, analysts and business stakeholders
Desirable
31. Degree in Computer Science, Information Systems, Data Science or a related discipline
32. Relevant certifications such as Certified Data Management Professional (CDMP) or Microsoft Azure Data Engineering certifications
Why join us?
33. Play a foundational role in shaping Southern Water’s enterprise data architecture
34. Work on meaningful, business‑critical data products
35. Collaborate with multidisciplinary teams across technology and the business
36. Hybrid and flexible working
37. Competitive salary, pension, bonus and a comprehensive benefits package