Data Modeler

Salt; Greater London; On-site; GBP 78,000 - 106,000; Full time

Job summary

Salt is seeking an experienced Data Analyst Modeller for a major digital transformation programme in Stratford, London. The role is on-site three days a week with a rate of approximately £500 per day and Inside IR35.

You will investigate data across multiple products, develop logical data models and ERDs, and help business and technology teams agree consistent definitions and structures for sharing data. This hands-on role requires strong SQL, data profiling and stakeholder engagement.

Qualifications

• Hands-on experience building logical data models and ERDs.
• Strong SQL for data profiling and validation.
• Experience mapping data across complex systems and defining business rules.
• Ability to explain modelling decisions to technical and non-technical stakeholders.

Responsibilities

• Develop logical data models and ERDs.
• Map data structures, flows and system boundaries across products.
• Use SQL to profile datasets and identify data quality issues.
• Define and review data contracts and governance.
• Align models with enterprise data standards and taxonomy.
• Present models to product, engineering and business teams.

Skills

SQL

Data modelling

ERD

Stakeholder engagement

Python

Azure/AWS

SaaS products

Data profiling

Data mapping

Tools

Azure

AWS

ERD tools

Job description

Location: Stratford, London, three days per week on site

Rate: Approximately £500 per day

IR35: Inside IR35

We are recruiting an experienced Data Analyst Modeller to support a major digital transformation programme. You will investigate data across multiple products and platforms, develop logical models and help business and technology teams agree consistent definitions and structures for sharing data.

This is a hands‑on role requiring strong modelling skills, SQL expertise and confident stakeholder engagement.

Key responsibilities

• Develop logical data models and entity relationship diagrams.
• Map data structures, flows and system boundaries across multiple products and applications.
• Use SQL to investigate source data, profile datasets and identify data quality issues.
• Work with subject matter experts to identify business entities, relationships and rules.
• Facilitate discussions to agree shared definitions, data ownership and usage.
• Define and review shared data structures and data contracts.
• Align models with enterprise data standards, naming conventions and taxonomy.
• Present models clearly and secure agreement from product, engineering and business teams.
• Substantial hands‑on experience developing logical data models and ERDs.
• Strong SQL skills for data investigation, profiling and validation.
• Experience mapping data across complex systems and translating business requirements into models.
• Ability to explain modelling decisions to technical and non-technical stakeholders.
• Experience applying enterprise data standards and agreeing consistent business definitions.
• SaaS products and Azure or AWS environments.
• Education, digital learning or assessment platforms.
• Python for data analysis and automation.