At a Glance
- Tasks: Lead the design of data models for enterprise platforms and analytics solutions.
- Company: Join a forward-thinking company in Nottingham with a hybrid work model.
- Benefits: Permanent position with competitive salary and opportunities for professional growth.
- Other info: Collaborative environment with mentorship opportunities and career advancement.
- Why this job: Shape the future of data architecture and drive impactful transformation initiatives.
- Qualifications: Experience in data modeling, cloud platforms, and strong communication skills.
The predicted salary is between 70000 - 90000 £ per year.
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!
Data Modeler in Mansfield employer: UST
Join a forward-thinking company in Nottingham that values innovation and collaboration, offering a hybrid work model that promotes work-life balance. As a Data Modeler, you will have the opportunity to lead transformative data initiatives while benefiting from a supportive work culture that prioritises employee growth and development. With access to cutting-edge technology and a commitment to best practices, this role provides a unique chance to shape the future of enterprise data architecture in a dynamic environment.
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We think this is how you could land Data Modeler in Mansfield
✨Get Involved in Data Science Meetups
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✨Apply Directly through Our Website
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We think you need these skills to ace Data Modeler in Mansfield
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at UST, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at UST. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at UST
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at UST!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
