Data Modeller

Design the data models, data structures and integration requirements needed to support sustainability reporting products and processes. The role will translate business and regulatory requirements into clear conceptual, logical and physical data models aligned to target product architecture and end-to-end reporting processes., * Develop conceptual, logical and physical data models for sustainability and regulatory reporting.

• Translate target product, reporting and process requirements into clear data structures, relationships and dependencies.

• Define data requirements across energy and utilities, property, supplier and procurement, travel, employee commuting, waste and water, leased assets, and investment data.

• Analyse source data to understand structure, quality, granularity, history and suitability for target reporting requirements.

• Define source-to-target mappings and transformation logic across enterprise and external data sources.

• Design data integration requirements and interfaces between source systems, target products and reporting platforms. The role defines integration requirements rather than building integrations.

• Align data models to target business processes, calculation requirements and sustainability reporting outputs.

• Profile historical and current datasets to identify gaps, inconsistencies, duplicates and modelling implications.

• Define reconciliation, validation and exception requirements to support accurate data transformation and reporting.

• Develop test scenarios to validate data models, mappings and transformation logic against business and product requirements.

• Work closely with Sustainability, Product, Change and Technology teams to resolve data design decisions and dependencies.

• Maintain clear model documentation, data definitions and design artefacts to support product delivery and implementation.

• Strong experience as a Data Modeller, Data Architect or senior data analyst working on complex data products or platforms.
• Strong experience developing conceptual, logical and physical data models and translating business requirements into data designs.
• Experience analysing large, multi-source datasets and defining source-to-target mappings and transformation logic.
• Good understanding of data integration patterns and interface design, without requiring hands-on integration development.
• Experience aligning data models to target product architecture, business processes and reporting requirements.
• Sustainability, ESG, carbon accounting or regulatory reporting experience would be advantageous.
• Strong stakeholder management skills, with the ability to work across business, product and technology teams.