Data Modeller

Data Modeller

London (Hybrid, 2 days per week)

Up to £65,000

This is a fantastic opportunity for a Data Modeller, Analytics Engineer, or data professional with strong modelling expertise to join a growing architecture function and help shape the future of enterprise data. You'll play a key role in establishing data standards, supporting a modern cloud-based data platform, and developing your career towards Data Architecture within a highly collaborative environment.

The Company

They are a large, purpose-led organisation investing heavily in data, architecture, governance, and cloud technologies as part of an ongoing transformation programme. The business is focused on strengthening its data foundations, improving decision-making, and building scalable platforms that support long-term organisational objectives. This role sits within a well-established architecture practice and offers excellent exposure across data, technology, and business teams.

The Role

• Design and develop conceptual, logical, and physical data models
• Support the definition and maintenance of enterprise data modelling standards
• Translate business requirements into scalable and effective data structures
• Apply dimensional modelling methodologies including Kimball and Data Vault
• Collaborate with Data Engineers, Analysts, Architects, and Governance teams
• Support the development of modern cloud-based data platforms and reporting solutions
• Contribute to data transformation and modernisation initiatives
• Document data structures, relationships, metadata, and modelling artefacts
• Promote architecture best practice and data governance standards across the organisation
• Develop architecture knowledge and progress towards a Data Architect career path

Your Skills & Experience

• Strong commercial experience in data modelling within modern data environments
• Experience designing conceptual, logical, and physical data models
• Strong understanding of dimensional modelling methodologies, including Kimball and/or Data Vault
• Experience working with cloud-based data platforms, ideally within Azure environments
• Understanding of data architecture principles and a genuine interest in developing into an architectural role
• Experience working closely with Data Engineers, Analytics teams, and business stakeholders
• Exposure to Microsoft Fabric, Databricks, Python, PySpark, or dbt would be beneficial
• Experience with data modelling tools such as Sparx EA, Sparx Enterprise Architect, Enterprise Architect, ER/Studio, ERwin, Erwin Data Modeler, Power Designer, SAP Power Designer, or comparable modelling platforms
• Understanding of Medallion Architecture or modern data platform design principles would be advantageous
• Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences