Domain Data Modeller

Hackajob Ltd; Haywards Heath; Hybrid; GBP 61,000 - 101,000; Full time

Benefits offered by this job

Pension

Bonus

Hybrid work

Comprehensive benefits

Job summary

Hackajob Ltd is recruiting a Domain Data Modeller for Southern Water, with hybrid work requiring two days per week in the office at Durrington or Falmer. The role focuses on designing and delivering domain-focused data models across conceptual, logical and physical layers, aligned to business needs and the modern lakehouse platform.

You will collaborate with Data Engineers, Analysts and stakeholders, drive governance, metadata and lineage practices, and translate business requirements into

Qualifications

• We 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 with data modelling tools such as Erwin.
• Experience with cloud data platforms like Azure Data Lake and Databricks.
• Familiarity with data cataloguing and lineage tools such as Microsoft Purview.
• Strong SQL skills and relational and dimensional modelling.
• Ability to translate complex business concepts into clear data structures.
• Experience in agile delivery environments (Jira/Confluence).
• Excellent problem-solving, communication and stakeholder engagement skills.
• Ability to manage multiple modelling activities across domains.
• Hands-on experience delivering gold-layer data products in Databricks or similar.
• Understanding of business processes, information flows and source systems into models.
• Experience in systems and database design (relational/dimensional).
• Collaborative with data engineers, analysts and stakeholders; able to influence across teams.
• Databricks experience with SQL and Python.
• Strong communication with technical and business stakeholders.
• Understanding of data quality, governance, privacy principles in models.
• Desirable: degree in CS/IS/Data Science; CDMP or Azure Data Engineering certifications.

Responsibilities

• Design, implement and maintain conceptual, logical and physical data models by business domain.
• Maintain enterprise data catalogue with metadata, lineage and definitions.
• Translate requirements into clear data models with Product Owners and delivery teams.
• Contribute to solution architecture for scalable, long-term data strategy.
• Collaborate with Data Engineers to validate models against pipelines and data samples.
• Produce high-quality model documentation for analytics.
• Maintain modelling standards across squads.
• Apply change management for consistency and traceability of models.
• Support governance and metadata management using modelling tools.
• Capture domain knowledge and model documentation; engage with architects and SMEs.
• Manage modelling work within agile backlogs; participate in ceremonies.

Skills

Domain data modelling

Data architecture

SQL

Databricks

Data governance

Jira

Confluence

Azure Data Lake

Data cataloguing

Education

Degree in CS/IS/Data Science

Tools

Erwin

Microsoft Purview

Databricks

Azure Data Lake

Jira

Confluence

Job description

Salary: £61,000 - 101,000 per year

Requirements:

• We are looking for proven experience in domain or enterprise data modelling on large-scale data platforms.


• We need a strong understanding of data architecture, metadata management and data governance.


• We require experience using data modelling tools such as Erwin or equivalent.


• We are looking for experience with cloud-based data platforms such as Azure Data Lake and Databricks.


• We need familiarity with data cataloguing and lineage tools such as Microsoft Purview.


• We require strong SQL skills and experience with relational and dimensional modelling.


• We are looking for the ability to translate complex business concepts into clear data structures.


• We need experience working in agile delivery environments, including Jira and Confluence.


• We require excellent problem-solving, communication and stakeholder engagement skills.


• We need the ability to manage multiple modelling activities across different business domains.


• We require significant hands-on experience in data modelling projects, including designing and delivering Gold-layer data products in Databricks or a comparable modern lakehouse platform.


• We are looking for experience understanding business processes, information flows and source systems, and translating them into conceptual, logical and physical data models.


• We require experience in systems and database design, including relational and dimensional modelling techniques.


• We need experience collaborating with data engineers, analysts and business stakeholders, and the ability to influence and build relationships across technical teams, architects, Product Owners and business stakeholders.


• We require hands-on Databricks experience, including SQL and Python.


• We need strong communication skills and experience working with technical and business stakeholders.


• We require understanding of data quality, classification, privacy and governance principles, with the ability to embed them into model design.


• A degree in Computer Science, Information Systems, Data Science or a related discipline is desirable.


• Experience applying data quality, governance, metadata, lineage, security and privacy principles to BI and analytical solutions is desirable.


• Relevant certifications such as CDMP or Microsoft Azure Data Engineering certifications are desirable.

Responsibilities:

• We design, implement and maintain conceptual, logical and physical data models aligned to business domains.


• We maintain and enhance the enterprise data catalogue, ensuring metadata, lineage and business definitions remain accurate and trusted.


• We translate business requirements into clear, well-structured data models in collaboration with Product Owners, Technical Lead and delivery teams.


• We contribute to solution architecture discussions, ensuring data models support scalability and long-term strategy.


• We work closely with Data Engineers to validate models against ingestion pipelines and sample data.


• We provide high-quality model documentation to support downstream development and analytics.


• We maintain data modelling standards and best practices across squads.


• We apply change management principles to ensure consistency and traceability of model changes.


• We support governance and metadata management using recognised data modelling tools.


• We capture and maintain domain knowledge and model documentation.


• We engage with architects, SMEs, governance and compliance teams as needed.


• We manage and contribute to modelling work within the squads agile backlog.


• We actively participate in agile ceremonies, backlog refinement and sprint planning.

Technologies:

• Azure


• Cloud


• Confluence


• Databricks


• Support


• JIRA


• Python


• SQL


• Security

More:

We are partnering directly with Southern Water to hire a Domain Data Modeller for our Durrington (Worthing) or Falmer (Brighton) offices, with hybrid working requiring two days per week in the office. This is a permanent role working 37 hours per week with a competitive salary and benefits. We are on a major data transformation journey to build a modern, trusted data platform that supports operational performance, regulatory outcomes and rapid decision-making across the business. You will join our growing Data & Analytics team and play a foundational role in shaping our new platform, working within a domain-focused agile squad alongside multidisciplinary teams across technology and the business. We offer hybrid and flexible working, a competitive salary, pension, bonus and a comprehensive benefits package.

last updated 40 week of 2026