At a Glance
- Tasks: Design and develop enterprise information models for a large-scale programme.
- Company: Join a dynamic team in a hybrid role based in Warwick.
- Benefits: Competitive pay, flexible working, and opportunities for professional growth.
- Other info: Collaborate with experts and enjoy a supportive work culture.
- Why this job: Make an impact in a regulated environment while honing your modelling skills.
- Qualifications: Experience in information modelling and strong communication skills required.
The predicted salary is between 51750 - 63250 £ per year.
Looking for an experienced Information Modeller to design and develop enterprise information models across a large-scale programme. The role spans static data models, process flows, integration interfaces, and solution architecture, working closely with subject matter experts to validate and agree models. The position also carries governance, metadata management, and data quality responsibilities within a complex, regulated environment.
Key Responsibilities
- Develop information model diagrams using UML class notation, BPMN, ArchiMate, and UML interaction notation, created within Sparx Enterprise Architect.
- Collaborate with subject matter experts to validate, refine, and agree models, contributing to solution architecture across business, infrastructure, and functional areas.
- Implement governance frameworks and support data compliance activities, including policies, standards, and guidelines aligned to data legislation.
- Manage knowledge assets and metadata life cycle - covering identification, classification, storage, and maintenance - to enable effective information discovery.
- Develop physical database schemas from information models and create interaction diagrams and message payloads for API integration (HTTP GET, POST, PUT, PATCH, DELETE).
Top 5 Skills
- Information modelling expertise - Strong proficiency in UML, BPMN, and ArchiMate notations, with hands-on experience using Sparx Enterprise Architect to produce enterprise-grade models.
- Data governance & compliance - Solid understanding of data governance frameworks, metadata management, and data legislation compliance within complex enterprise environments.
- Database & schema design - Proven ability to develop physical relational database schemas from information models, including constraints and historical data structures.
- API & integration design - Familiarity with HTTP methods and the ability to create interaction diagrams and message payloads for REST API integrations.
- Stakeholder collaboration - Strong communication and engagement skills, with the ability to work closely with SMEs, architects, and business stakeholders to validate and agree complex models.
Information Modeller - 6 months - Inside IR35 - Hybrid in Warwick employer: Hamilton Barnes
Hamilton Barnes is an exceptional employer, offering a dynamic work environment in London where innovation meets opportunity. With competitive salaries, night shift allowances, and a strong focus on employee development through ongoing training, we empower our Field Service Engineers to advance their careers while enjoying a supportive team culture. Join us to be part of a growing engineering team that values your skills and fosters professional growth.
StudySmarter Expert Advice🤫
We think this is how you could land Information Modeller - 6 months - Inside IR35 - Hybrid in Warwick
✨Tap into Online Data Science Communities
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 Hamilton Barnes 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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We think you need these skills to ace Information Modeller - 6 months - Inside IR35 - Hybrid in Warwick
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Hamilton Barnes, 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.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
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 Hamilton Barnes, 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 Hamilton Barnes’s attention and show the tangible impact of your work.
How to prepare for a job interview at Hamilton Barnes
✨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 Hamilton Barnes.
✨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 Hamilton Barnes.
✨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 Hamilton Barnes.
