Data Modeler

Nottingham (Hybrid – 3 days onsite)

Start: July 2026

Employment Type: Permanent / Fixed Term

We are seeking an experienced Data Modeler to play a key role in shaping enterprise data architecture and enabling large-scale data transformation initiatives.

In this role, you will lead the design and optimisation of data models that support modern data platforms, analytics, and cloud-based environments. You will collaborate with cross-functional teams to ensure consistent, scalable, and high-performance data solutions aligned with enterprise standards.

Key Responsibilities

• Lead the design and development of conceptual, logical, and physical data models for enterprise data platforms and analytics solutions
• Develop and implement dimensional models including Star Schema, Snowflake, Data Vault, and Canonical Data Models
• Design scalable data models across relational, cloud, and big data environments
• Collaborate with enterprise architects, business stakeholders, and engineering teams to define data standards, governance, and modeling strategies
• Ensure alignment with data governance, metadata management, and data quality frameworks
• Review and optimise existing data models for performance, scalability, and regulatory compliance
• Drive best practices across normalisation, denormalisation, and data architecture standards
• Lead data model reviews, design governance, and mentoring of junior team members
• Establish enterprise-wide conventions, standards, and reusable data modeling framework s

What We’re Looking For

• Extensive experience in enterprise data modeling and data architecture within large-scale environments
• Strong expertise in dimensional modeling techniques and modern data design patterns
• Hands-on experience with data modeling tools such as ER/Studio, Erwin Data Modeler, or PowerDesigner
• Proven experience working with cloud data platforms including Microsoft Azure, Snowflake, and modern data warehouse solutions
• Deep understanding of data governance, master data management (MDM), and metadata frameworks
• Experience in data lineage, reference data management, and data quality practices
• Strong capability in performance optimisation and scalable data architecture design
• Excellent stakeholder engagement, leadership, and communication skills
• Experience supporting enterprise data modernisation and cloud migration programmes

Key Skills

• Enterprise Data Modeling
• Data Architecture & Design
• Master Data Management (MDM)
• Reference Data Management
• Data Governance & Data Quality
• ER/Studio, Erwin, PowerDesigner
• Microsoft Azure, Snowflake, SQL Server

Hurry & apply for a more detailed conversation!