Domain Data Modeller

We’re looking for a skilled data modeller with strong technical foundations and the ability to collaborate effectively across technical and non ‑ technical teams.

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 h ands ‑ on experience in data modelling projects , with e xperience 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 a bility to influence and build relationships across technical teams, architects, Product Owners and business stakeholders.

H ands-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

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

R elevant certifications such as Certified Data Management Professional (CDMP) or Microsoft Azure Data Engineering certifications

Play a foundational role in shaping Southern Water’s new data platform

Work on meaningful, in-demand 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