Senior Data Modeller

Overview We are seeking a Senior Data Modelling Specialist to take ownership of enterprise-level data models and semantic design within a complex, multi-domain data environment. This role is pivotal in bringing clarity, structure and consistency to how data is defined, modelled and consumed organisation-wide. Please note, this is not a generalist analytics or engineering position; it is specifically for a professional whose core expertise lies in data modelling. Key Responsibilities Own and evolve enterprise data modelling standards. Design and maintain: Conceptual, Logical and Physical Data Models. Entity Relationship Diagrams (ERDs). Common / canonical data models. Define and govern the semantic layer underpinning reporting and analytics. Act as the modelling authority across multiple business domains. Translate complex business concepts into clear, reusable data structures. Collaborate closely with architecture, engineering and analytics teams to ensure consistency and reuse. Ensure models support both current reporting requirements and future platform decisions. Essential Criteria (Non-Negotiable) Candidates must demonstrate strong experience in: Enterprise data modelling beyond individual tool proficiency. Conceptual, Logical and Physical modelling. Entity Relationship Diagrams (ERDs). Semantic layer design. Defining data structures that are reused across teams, rather than rebuilt per report. Operating within complex, multi-domain environments. Experience limited to report-level or dashboard-level modelling alone will not be sufficient. Desirable (Not Essential) Exposure to formal modelling or semantic tools such as Erwin, Denodo, AtScale or similar. Experience working alongside enterprise or solution architecture teams. Familiarity with how models support downstream tools such as Power BI. TPBN1_UKTJ

Created: 2026-02-01