Domain Data Modeller

Closing Date

2026-06-12

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

• Designing, implementing and maintaining conceptual, logical and physical data models aligned to business domains

• Ensuring metadata and lineage are accurately captured and maintained within the enterprise data catalogue

• Translating business requirements into clear, well‑structured data models in collaboration with Product Owners 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

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:

• 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

• 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

Technical knowledge (desirable)

• 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

Qualifications

Essential

• Hands‑on experience in data modelling projects

• Experience collaborating with data engineers, analysts and business stakeholders

Desirable

• Degree in Computer Science, Information Systems, Data Science or a related discipline

• Relevant certifications such as Certified Data Management Professional (CDMP) or Microsoft Azure Data Engineering certifications

Why join us?

• Play a foundational role in shaping Southern Water’s enterprise data architecture

• Work on meaningful, business‑critical data products

• Collaborate with multidisciplinary teams across technology and the business

• Hybrid and flexible working

• Competitive salary, pension, bonus and a comprehensive benefits package