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For Companies At a Glance
- Tasks: Design and maintain data models that drive analytics and reporting.
- Company: Join Southern Water on a transformative data journey.
- Benefits: Enjoy hybrid working, competitive salary, and comprehensive benefits.
- Other info: Be part of a dynamic environment with growth opportunities.
- Why this job: Shape enterprise data architecture and work on impactful projects.
- Qualifications: Experience in data modelling and collaboration with diverse teams.
The predicted salary is between 50000 - 60000 ÂŁ per year.
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
Domain Data Modeller in Worthing employer: SouthernWaterServices
Contact Detail:
SouthernWaterServices Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Domain Data Modeller in Worthing
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by researching the company and its culture. Tailor your answers to show how your skills as a Domain Data Modeller align with their goals. We want to see that you’re genuinely interested in what they do!
✨Tip Number 3
Practice makes perfect! Do mock interviews with friends or use online platforms to get comfortable with common questions. The more you practice, the more confident you'll feel when it’s time to shine.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Domain Data Modeller in Worthing
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Domain Data Modeller role. Highlight your experience with data modelling, cloud platforms, and collaboration with teams. We want to see how your skills align with our needs!
Showcase Your Technical Skills: Don’t forget to mention your technical expertise! Include your experience with data modelling tools like Erwin, SQL skills, and any cloud-based platforms you've worked with. This is your chance to shine, so let us know what you can bring to the table.
Be Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points where possible to make it easy for us to read. We appreciate straightforward communication, especially when it comes to complex topics like data modelling.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets to the right people. Plus, you’ll find all the details about the role and our company culture there!
How to prepare for a job interview at SouthernWaterServices
✨Know Your Data Models
Make sure you brush up on your data modelling skills before the interview. Be ready to discuss your experience with conceptual, logical, and physical data models, especially how they align with business domains. Southern Water is looking for someone who can translate complex business requirements into clear data structures, so have some examples ready!
✨Familiarise Yourself with Tools
Since the role involves using data modelling tools like Erwin and working with cloud-based platforms such as Azure Data Lake, it’s a good idea to get comfortable with these technologies. If you’ve used similar tools, be prepared to explain how you applied them in past projects.
✨Engage with Agile Methodologies
Southern Water values collaboration within agile squads, so be ready to talk about your experience in agile environments. Familiarise yourself with tools like Jira and Confluence, and think of examples where you actively participated in sprint planning or backlog refinement.
✨Showcase Your Communication Skills
As a Domain Data Modeller, you'll need to work closely with various stakeholders. Highlight your problem-solving abilities and communication skills during the interview. Prepare to discuss how you've engaged with non-technical teams and ensured that everyone understands the data models and their implications.