Data Modeler (Lead I - Data Engineering)

Role Description 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 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 Hurry & apply for a more detailed conversation! #UST Skills data modeling,reference data management,master data management,enterprise data modeling,