At a Glance
- Tasks: Define and evolve enterprise data models in a dynamic financial services environment.
- Company: Leading financial services firm in Bristol with a focus on data innovation.
- Benefits: Competitive salary, bonus, pension, and hybrid working options.
- Other info: Join an exciting data transformation programme with excellent career growth potential.
- Why this job: Shape the future of data strategy and tackle complex challenges in a high-impact role.
- Qualifications: Senior experience in data modelling and cloud platforms like AWS & Snowflake.
The predicted salary is between 95000 - 95000 £ per year.
A Financial Services Business in Bristol are looking for a Principal Data Modeller to define, own, and evolve the enterprise data model within a complex, data-driven organisation. This is a high-impact, senior individual contributor role responsible for establishing consistency, clarity, and trust in how data is structured, governed, and used across the business. You will act as the design authority for data modelling, ensuring that data assets support analytics, reporting, regulatory requirements, and AI/ML use cases. Working across multiple domains, you will bring alignment to key business concepts and enable scalable, reusable data products. This role is ideal for someone who thrives on solving complex data challenges, influencing senior stakeholders, and shaping enterprise-wide data strategy without direct line management responsibility.
Required Experience:
- Senior level experience in data modelling, data architecture, or related roles
- Experience within financial services or regulated environments
- Experience working with cloud platforms - AWS & Snowflake
- Experience working with data product or platform operating models
- Familiarity with event-driven or streaming data architectures
- Deep expertise in data modelling methodologies (conceptual, logical, dimensional)
- Strong understanding of data governance, lineage, and quality frameworks
- Strategic thinker with a focus on scalability and reuse
- Excellent stakeholder management and communication skills
- Passion for data innovation and evolving best practice
This is an opportunity to be part of an enterprise data transformation programme!
Principal Data Modeller (Snowflake) employer: Sanderson Recruitment Plc
Join a forward-thinking financial services business in Bristol, where innovation meets opportunity. As a Principal Data Modeller, you'll thrive in a hybrid working environment that fosters collaboration and creativity, while enjoying competitive benefits including a generous salary, bonus, and pension scheme. With a strong emphasis on employee growth and a culture that values data-driven decision-making, this role offers you the chance to make a significant impact on enterprise-wide data strategy in a supportive and dynamic setting.
StudySmarter Expert Advice🤫
We think this is how you could land Principal Data Modeller (Snowflake)
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We think you need these skills to ace Principal Data Modeller (Snowflake)
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 Sanderson Recruitment Plc, 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 Sanderson Recruitment Plc. 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 Sanderson Recruitment Plc
✨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 Sanderson Recruitment Plc!
✨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.
