At a Glance
- Tasks: Create and improve data models that drive business success in a collaborative environment.
- Company: Join a global leader in workforce solutions committed to inclusivity and innovation.
- Benefits: Flexible hybrid working, competitive pay, and opportunities for professional growth.
- Other info: Work in a dynamic team with excellent career advancement potential.
- Why this job: Make a real impact by shaping data strategies for a major UK retail bank.
- Qualifications: Experience with Sparx EA and strong data modelling skills required.
The predicted salary is between 60750 - 74250 £ per year.
AMS is a global workforce solutions partner committed to creating inclusive, dynamic, and future-ready workplaces.
We help organisations adapt, grow, and thrive in an ever-evolving world by building, shaping, and optimising diverse talent strategies.
Our Contingent Workforce Solutions (CWS) is one of our service offerings.
Acting as an extension of their recruitment teams, we connect them with skilled interim and temporary professionals, fostering workplaces where everyone can contribute and succeed.
Our client, a major UK retail bank, provides every day banking services to over 17 million retail customers.
The banks expertise and services span across Business Services, Corporate banking, Wealth Management, Group Functions, Retail and Investment Banking.
On behalf of this organisation, AMS are looking for a
Data Modeller for a 3 month contract based in London with remote working available (Hybrid).
Purpose of the role
This role will play a critical part in translating complex business requirements into governed, standardised data structures that align with enterprise architecture, data product strategies, and data risk management objectives.
This is a highly collaborative position, working closely with business stakeholders, data owners, SMEs, architects, and analysts to design and maintain data models that support business outcomes while ensuring strong data governance and quality standards.
What you'll do
- Own, maintain and continuously improve enterprise data models across multiple business domains.
- Translate business and data requirements into conceptual, logical and physical data models.
- Support data design activities, design reviews, and data quality investigations.
- Collaborate with Business Analysts, Architects, SMEs and Data Owners to ensure data solutions meet business needs.
- Create and maintain data contracts, data definitions and metadata documentation.
- Support the management of data lineage and data governance requirements.
- Promote enterprise data standards, modelling frameworks and best practices.
- Ensure data structures are fit for purpose, scalable and minimise data risk.
- Contribute to data architecture initiatives that strengthen governance and improve data management capabilities.
The skills you'll need
- Hands-on experience with
- Sparx
Enterprise Architect (EA) is essential.
- Extensive experience in conceptual, logical and physical data modelling.
- Strong knowledge of data modelling techniques including 3NF, Dimensional Modelling, Data Vault and No SQL approaches.
- Hands-on experience managing data products, metadata, lineage and data definitions.
- Excellent communication and stakeholder management capabilities.
- Experience working within regulated environments, preferably Financial Services.
- Ability to transform business requirements into robust data models and technical designs.
- Strong understanding of data governance, data quality and data risk management.
- Next steps
This client will only accept workers operating via an Umbrella or PAYE engagement model.
If you are interested in applying for this position and meet the criteria outlined above, please click the link to apply and we will contact you with an update in due course.
AMS, a Recruitment Process Outsourcing Company, may in the delivery of some of its services be deemed to operate as an Employment Agency or an Employment Business
Data Modeller (Sparx EA) employer: Alexander Mann Solutions
Universal Music Group UK is an exceptional employer, offering a vibrant and inclusive work culture that celebrates diversity and creativity. As a Web Developer (.NET, Backend), you'll have the opportunity to shape innovative projects while collaborating with talented professionals in the music industry. With a commitment to employee growth and a flexible remote working environment, UMG UK ensures that every team member can thrive and contribute meaningfully to the world of music.
StudySmarter Expert Advice🤫
We think this is how you could land Data Modeller (Sparx EA)
✨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 Alexander Mann Solutions before they're even advertised!
✨Show Off Your Skills With Projects
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.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Alexander Mann Solutions.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Alexander Mann Solutions.
We think you need these skills to ace Data Modeller (Sparx EA)
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Alexander Mann Solutions, 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 Alexander Mann Solutions, 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 Alexander Mann Solutions’s attention and show the tangible impact of your work.
How to prepare for a job interview at Alexander Mann Solutions
✨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 Alexander Mann Solutions.
✨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 Alexander Mann Solutions.
✨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 Alexander Mann Solutions.
