At a Glance
- Tasks: Design and maintain scalable data models for enterprise-grade data products.
- Company: Join a collaborative data team in a leading organisation.
- Benefits: Competitive day rate, hybrid working, and opportunities for professional growth.
- Other info: Work with cutting-edge cloud technologies and enhance customer outcomes.
- Why this job: Make a real impact by shaping strategic data products that drive business value.
- Qualifications: Experience in data modelling and strong understanding of relational methodologies.
The predicted salary is between 70000 - 90000 £ per year.
Location: London or Edinburgh
Working Pattern: Hybrid – 2 to 3 days per week on-site
Day Rate: £425 per day (Inside IR35)
Duration: 6 Months
Join a highly experienced and collaborative data team where you'll have the opportunity to expand your expertise, share knowledge, and contribute to innovative data initiatives.
Partner closely with business stakeholders, architects, engineers, and analysts to shape strategic data products that drive business value and informed decision-making.
Play a key role in delivering solutions that enhance customer outcomes by enabling trusted, scalable, and governed data assets across the organisation.
We are seeking an experienced Data Modeler to support the design and delivery of enterprise-grade data products within a modern cloud-based data ecosystem. You will be responsible for creating scalable, governed data models that align with the organisation’s Retail Federated Data Model and wider enterprise data architecture standards.
Working closely with Data Analysts, Data Engineers, Architects, and business stakeholders, you will ensure that data structures are robust, reusable, and capable of supporting both current and future business requirements.
Key Responsibilities
- Design and maintain conceptual, logical, and physical data models for enterprise data products.
- Ensure alignment with federated and enterprise-wide data architecture standards and principles.
- Define data entities, attributes, relationships, hierarchies, and business rules.
- Translate business requirements into structured and scalable data models in collaboration with Data Analysts and stakeholders.
- Provide guidance to Data Engineers on data structures, modelling patterns, and data granularity requirements.
- Promote consistency, reusability, and standardisation of data models across multiple business domains.
- Support data governance initiatives, including metadata management, lineage, and data quality practices.
- Collaborate with architecture and engineering teams to optimise data design for cloud-based platforms.
- Contribute to the development and maintenance of modelling standards, frameworks, and best practices.
- Support the delivery of data products that enable analytical, operational, and regulatory reporting requirements.
Essential Skills, Knowledge and Experience
- Proven experience in data modelling, including conceptual, logical, and physical modelling techniques.
- Strong understanding of relational modelling methodologies, including Third Normal Form (3NF).
- Experience with dimensional modelling approaches for analytical and reporting solutions.
- Knowledge of Data Vault modelling principles would be advantageous.
- Expertise in designing data models for data lakes, data platforms, and modern cloud environments.
- Experience working with AWS, Snowflake, or comparable cloud-based data storage and analytics platforms.
- Familiarity with event-driven architectures and streaming technologies, including Kafka.
- Strong understanding of data governance, metadata management, and data lineage frameworks.
- Ability to collaborate effectively with both technical and non-technical stakeholders.
- Experience within Banking, Financial Services, or Retail data environments is preferred.
Data Modeler in London employer: Stott and May
Join a dynamic and innovative data team in either London or Edinburgh, where collaboration and professional growth are at the forefront of our work culture. We offer competitive day rates and a hybrid working pattern that promotes work-life balance, alongside opportunities to engage with cutting-edge cloud technologies and contribute to impactful data initiatives. Our commitment to employee development and a supportive environment makes us an excellent employer for those seeking meaningful and rewarding careers in data modelling.
StudySmarter Expert Advice🤫
We think this is how you could land Data Modeler in London
✨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 Stott and May 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
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We think you need these skills to ace Data Modeler in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Stott and May, 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 Stott and May, 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 Stott and May’s attention and show the tangible impact of your work.
How to prepare for a job interview at Stott and May
✨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 Stott and May.
✨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 Stott and May.
✨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 Stott and May.
