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# Data Modeler

- **Company:** Harnham
- **Location:** London, UK
- **Salary:** £156,000.0 - £182,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Customer Data Management, SQL Databases, Data Management, Databricks
- **Published:** July 31, 2026
- **Apply:** https://www.adzuna.co.uk/jobs/details/5821643340

## About the Role

* Strong experience designing enterprise-level logical and physical data models within complex organisations.
 * Ability to operate in early-stage or evolving data environments without heavy modelling tools, using pragmatic approaches.
 * Experience working closely with data engineers, governance teams, and business stakeholders to align models to real-world use cases.
 * Confident, proactive communicator who can challenge constructively, stand their ground when needed, and remain sensitive to different stakeholder perspectives.
 * Self-starter mindset, able to take ownership of ambiguous problems and drive them through to delivery.

## Description

Data Modeler£600 - £700 per dayLondon (1 day onsite) This is a high-impact freelance opportunity to shape the data foundations of a large, complex organisation as it consolidates fragmented platforms and enables self-service analytics and AI at scale. You will play a pivotal role in defining how enterprise data is structured, governed, and consumed, working at the intersection of business, engineering, and governance.The Company They are a large, asset-rich organisation operating across multiple European markets within the commercial real estate and infrastructure space. The business manages complex financial, operational, and customer data across a diverse portfolio and is investing heavily in modern data capabilities. With strong cash generation and long-term growth initiatives, data quality and modelling are central to their future strategy.The Role and Deliverables

 * Lead the design of enterprise logical and physical data models aligned to a single core ERP and wider business domains.
 * Work through a defined backlog, breaking down high-level requirements into clear modelling deliverables and standards.
 * Partner closely with data engineers to translate logical models into scalable physical implementations across the SQL, Databricks, and Fabric ecosystem.
 * Define a repeatable, "cookie-cutter" approach to data modelling that can be extended across additional business areas.
 * Collaborate with business analysts, governance, and data teams to establish modelling standards and best practices.
 * Deliver a robust, extensible data model within the first six months that supports current reporting needs and future AI enablement.


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