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.