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Southern Water

Domain Data Modeller

Worthing
Posted about 14 hours ago
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Domain Data Modeller

Location: Hybrid – Durrington
Hours: 37 hours per week
Contract: Permanent
Salary: Competitive + benefits


About the Role

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 organization.

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 organization.


Responsibilities

  • 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 recognized 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

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Requirements

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

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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

Our Purpose

Our purpose is big. Our impact is huge. And we know that every single one of us has the power, through our actions, to positively change society and the environment for good. It’s why careers with us have real meaning. Because, if you’re driven and ambitious, we can offer you huge opportunities for personal growth, professional development, and constant innovation. Forever evolving. Forever focused on doing the right thing, we empower and encourage everyone to play to their strengths and to help us shape a fair and positive future for all.

We believe in Water for Life. If you do too, Dive Right In.

Our customers are at the heart of everything we do, because delivering water for life is our core purpose. To achieve this, we need 24/7 support in place to resolve incidents quickly and efficiently. All our employees understand the importance of out-of-hours incident support – because when problems appear, fixing them is our top priority. That’s why our people join together and support when and however needed to make sure our customers get the service they deserve.

Joining the Southern Water family means you’ll become part of our incident support team. During your interview, your manager will speak to you about any incident support rotas that apply to your position.


Does this opportunity excite you but you’re not 100% sure if you meet all the requirements for the role? Or are you concerned that ‘normal’ office hours aren’t possible given your personal circumstances? Whilst we can’t accommodate every flexible working request, we’ll try to find a practical solution. So why not engage with us and find out more about this role?

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Skills

Domain Data Modelling
Enterprise Data Modelling
SQL
Relational Modelling
Dimensional Modelling
Metadata Management
Data Governance
Azure Data Lake
Databricks
Erwin
Data Cataloguing
Agile Methodology
Jira
Confluence
Stakeholder Engagement
Solution Architecture

Location

Durrington, England, United Kingdom

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