At a Glance
- Tasks: Create and maintain data models while collaborating with architects and engineers.
- Company: Join a public sector client focused on complex engineering projects.
- Benefits: Hybrid work model, competitive pay, and potential for contract extension.
- Other info: Engage with diverse stakeholders in a dynamic, security-conscious setting.
- Why this job: Make a real impact in a regulated environment using your data modelling expertise.
- Qualifications: Experience with UAF and strong data modelling skills required.
Location: near Nottingham (Hybrid, 2 to 3 office days per week)
Start Date: August 2026
Contract Length: 5 Months (with scope to extend)
IR35: Inside
Interview Process: 2 Stage, MS Teams
Clearance: SC
Nationality Required: UK
We are supporting a public sector client in hiring a Data Modeller with specialist knowledge of the Unified Architecture Framework to join a complex engineering and enterprise architecture programme. This is a hands‑on data modelling role requiring the ability to work across enterprise and solution architecture teams, translating business, operational and technical requirements into well‑structured conceptual, logical and physical data models. The successful candidate will apply UAF principles within a complex, regulated environment and contribute to the ongoing development and governance of the data architecture estate. This role suits an experienced Data Modeller with proven UAF expertise, comfortable working alongside architects, engineers and business stakeholders in a complex, security‑conscious environment.
Key Responsibilities
- Develop and maintain conceptual, logical and physical data models aligned to programme and enterprise architecture standards
- Apply Unified Architecture Framework principles to data modelling activity, ensuring models are consistent with the broader architectural approach
- Work closely with enterprise and solution architects to translate business, operational and technical requirements into structured data models
- Contribute to data architecture governance, standards and documentation across the programme
- Engage with technical and non-technical stakeholders to validate data models and ensure alignment with business needs
- Use architecture modelling tools and frameworks to produce clear, well‑structured artefacts for review and approval
- Support the integration of data models into wider system and enterprise architecture deliverables
Qualifications
- Strong data modelling expertise across conceptual, logical and physical model design
- Practical knowledge and application of the Unified Architecture Framework (UAF)
- Experience working with enterprise and solution architecture teams in complex delivery environments
- Ability to translate business, operational and technical requirements into structured data models
- Proficiency with architecture modelling tools and frameworks
- Strong communication skills with the ability to engage stakeholders across both technical and non-technical audiences
- Experience within defence, government, aerospace or highly regulated industry environments
- Familiarity with related architecture frameworks such as TOGAF, MODAF or NAF
- Experience contributing to data governance and architecture assurance processes
- Exposure to complex engineering or systems integration programmes
Data Modeller (SC Cleared) in Nottingham employer: Montash
Montash is an excellent employer that values innovation and collaboration, providing a dynamic work environment in Glasgow. With a strong focus on employee growth, we offer extensive training and development opportunities, alongside a flexible hybrid working model that promotes work-life balance. Join us to be part of a forward-thinking team dedicated to delivering impactful technology solutions in the public sector.
StudySmarter Expert Advice🤫
We think this is how you could land Data Modeller (SC Cleared) in Nottingham
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Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Montash before they're even advertised!
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Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
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Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Montash, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
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Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Montash, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Montash’s attention and show the tangible impact of your work.
How to prepare for a job interview at Montash
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Montash.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Montash.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Montash.
