Data Modeller

At Sizewell C, we're building more than a nuclear power station—we’re creating a lasting legacy of clean energy and innovation.

To help achieve this, we’re seeking a Data Modeller to design and develop the enterprise-level data models that enhance the data accessibility, usability and value across the organisation. Working alongside Data Architecture Lead, helping to define, build, and deliver data models that align with our strategic business needs and drive informed decision-making.

Contract Type: Permanent - Office-based with hybrid flexibility (typically 3 days p/w in the office)

Working Pattern: Full time

Location: London
Salary: Circa £60,000 - £65,000 depending on experience

Bonus: 5% annual incentive
Pension: Up to 7.5% employee contribution / 15% employer contribution
Holiday: 28 days plus bank holidays

Benefits: Flexible benefits

Closing Date: Friday 23rd October 2026

Impact

As a Data Modeller, you’ll help to design the various layers of data models to align with the SZC standards and principles for all domains and sub-domains within SZC. Work alongside with Integration and Engineering team to ensure all source requirements are captured and support the implementation of data models being created.

As part of your role, you will deliver:

High-Value Data Products

- Design and develop conceptual, logical, and physical data models to support business intelligence, analytics, and operational systems.

- Collaborate with stakeholders to gather and analyse data requirements.

- Translate business requirements into data structures that are efficient, scalable, and maintainable.

- Enforce data modelling standards, best practices, and governance.

- Work with data engineers to implement models in data warehouses, data lakes, and other storage systems.

- Maintain and update data models as business needs evolve.

- Ensure data integrity, quality, and consistency across systems.

- Document data models, metadata, and data dictionaries.

- Support data lineage and impact analysis efforts.

Data Models

- Conceptual Data Models: High-level models that outline business entities and relationships.

- Logical Data Models: Detailed models that define data elements, attributes, and relationships without considering physical implementation.

- Physical Data Models: Implementation-ready models tailored to specific database technologies, including indexing, partitioning, and storage details. Also ensure that models are aligned to respective layers.

- Meeting notes, requirement gathering documents, and stakeholder feedback summaries.

Data Dictionaries & Metadata

- Comprehensive documentation of data elements, definitions, data types, and business rules.

- Metadata repositories that support data governance and discovery.

Entity Relationship Diagrams (ERDs)

- Visual representations of data entities and their interrelationships, used for communication with stakeholders and developers for each domain/sub-domain/data products depend on requirements.

- Assessments of how changes in data models affect downstream systems, reports, and processes.

- Contributions to data architecture blueprints and alignment with enterprise data strategies.

- Managed and versioned models stored in tools like ERwin.

Data Mapping Documents

- Mapping between source systems and target models, especially for ETL/ELT processes.

- Mapping between target models and Semantic models.

Data Standards & Modelling Guidelines

- Documentation of naming conventions, modelling standards, and best practices to ensure consistency across the organization need to be enforced..

Knowledge, Skills, Qualifications & Experience

We’re interested in hearing from candidates who have experience in the following areas:

Technical Skills:

- Experience With different data modelling techniques to define models for different data layers.

- Experience with defining the enterprise/domain/sub-domain data models to ensure the data requirements are translated from business requirements.

- Identify the Operational and Analytical requirements when analysing the data sources and design models with future proof designs.

- Proficiency in designing all levels of data models like Conceptual, Logical and Physical data models.

- Familiarity with Azure data services, including Data Lake and Azure Databricks.

- Understanding of medallion architecture and how to apply it in modern data platform designs.

- Experience with version control of data models.

Leadership & Soft Skills:

- Excellent communication skills, capable of translating technical concepts for non-technical stakeholders and translate non-technical requests to implementation.

- Strong stakeholder management skills, ensuring alignment between business and technical teams.

Qualifications & Experience

- Proven experience as a Data Modeller or in a similar role.

- Proficiency in SQL and understanding of relational and non-relational databases.

- Experience with data warehousing concepts and platforms.

- Excellent analytical and problem-solving skills.

- Strong communication and collaboration abilities.

- Knowledge of data Lakehouse architectures and modern data stack tools.

- Understanding of data privacy regulations (e.g., GDPR, HIPAA).

Desirable

- Strong knowledge of data modeling tools (e.g., ER/Studio, ERwin, PowerDesigner, SQL DBM).

- Certification in data modelling or data architecture is a plus.

- Experience with cloud platforms ( Azure).

- Familiarity with data governance, data quality, and metadata management.

Why Join Us

- A major infrastructure project with national impact

- Hybrid working with flexibility built in

- Competitive salary, bonus and benefits

- Clear progression and development opportunities

- Supportive, collaborative team environment

Behavioural Competences

Humility

- Recognise the value brought from different cultures and experiences.

- Be open to other’s points of view and ideas, be willing to debate and to compromise.

Positivity

- Positively challenge poor quality and performance.

- Identify solutions at the lowest possible level.

- Encourage others to bring new ideas forward.

Respect

- Value the rules and environment in which we operate.

- Give and receive feedback with respect.

- Embrace and engage with new people and ideas.

Solidarity

- One team, working closely together and helping each other.

- Empowered teams always looking forward.

- Shared responsibility for delivery the project outcomes.

Clarity

- Communicate clearly and consistently.

- Promote collaboration and team alignment.

- Clearer and faster decision making.

- Drive simplification at all levels.

If this sounds like the next step in your career, we’d love to hear from you. Apply today!

When joining Sizewell C, you may wonder why you are contacted by colleagues with an EDF email or see the EDF logo on portals that you access and/or documentation you receive; this is because we have partnered with EDF for the provision of a number of support services whilst we complete a successful transition out of the EDF group.

At Sizewell C we encourage and embrace diversity and how it can improve our experience and performance at work. It is a requirement that those who join us have the right to work in the UK. Whilst sponsorship may be a possibility that we can explore, we are fully committed to local recruitment where possible, and those already holding the right to work in the UK.

To be appointed to this role, you will need to meet the criteria for Security Vetting, which will, ordinarily, require you to have been a resident of the UK for at least three of the past five years.