Data Modeller - Hybrid London, Path to Data Architect

Harnham; Greater London; Hybrid; GBP 59,000 - 72,000; Full time

Benefits offered by this job

Hybrid working model

Central London office

Job summary

Harnham is seeking a Data Modeller in London. The role is hybrid (2 days on-site) within a large, highly regulated organisation driving a major data and digital transformation, with a clear path from data modelling into data architecture.

You will contribute to how data is structured and used across the business. You will collaborate with senior architects, data engineers and governance teams to deliver robust models (conceptual, logical and physical) and help grow data platforms in the

Qualifications

• Strong commercial experience in data modelling across enterprise environments.
• Experience with dimensional modelling, Kimball or Data Vault approaches.
• Exposure to cloud data platforms in the Microsoft ecosystem and related tools.

Responsibilities

• Develop and maintain conceptual, logical, and physical data models to support key business initiatives.
• Contribute to the design and evolution of data architecture standards and best practices.
• Collaborate with data engineers, analysts and governance teams to deliver high‑quality data solutions.
• Support the transition towards modern, cloud‑based data platforms and architectural frameworks.
• Engage with stakeholders to translate business requirements into structured data models.

Skills

Data modelling

Dimensional modelling

Kimball

Data Vault

Cloud data platforms

Microsoft ecosystem

DBT

Python

PySpark

Stakeholder engagement

Data architecture

Tools

DBT

Python

PySpark

Job description

Harnham is seeking a Data Modeller in London. The role is hybrid (2 days on-site) within a large, highly regulated organisation driving a major data and digital transformation, with a clear path from data modelling into data architecture.

You will contribute to how data is structured and used across the business. You will collaborate with senior architects, data engineers and governance teams to deliver robust models (conceptual, logical and physical) and help grow data platforms in the