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Data modeler

Nottingham (Nottinghamshire)
UST
Posted: 21h ago
Offer description

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 frameworks

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


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