Principal Data Modeller (Snowflake) in Bath

Principal Data Modeller (Snowflake) in Bath

Bath Full-Time 95000 - 95000 £ / year (est.) Home office (partial)
Sanderson Recruitment

At a Glance

  • Tasks: Define and evolve enterprise data models in a dynamic financial services environment.
  • Company: Leading financial services business with a focus on data-driven solutions.
  • Benefits: Attractive salary, bonus, pension, and hybrid working options.
  • Other info: Opportunity for career advancement in a complex, innovative organisation.
  • Why this job: Join a high-impact role and shape the future of data modelling.
  • Qualifications: Experience in data modelling and expertise in Snowflake required.

The predicted salary is between 95000 - 95000 £ per year.

Location: Bristol (Hybrid Working)

Job Type: Permanent, Full-Time

Salary: £95,000 + Bonus, PHC, pension

The Role: 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...

Principal Data Modeller (Snowflake) in Bath employer: Sanderson Recruitment

Join a leading Financial Services Business in Bristol, where innovation meets opportunity. With a strong focus on employee growth and a collaborative work culture, we offer competitive salaries, bonuses, and comprehensive benefits including pension plans and hybrid working arrangements. Our commitment to fostering talent ensures that you will thrive in your role as a Principal Data Modeller, making a significant impact in a dynamic environment.

Sanderson Recruitment

Contact Details:

Sanderson Recruitment Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Principal Data Modeller (Snowflake) in Bath

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Sanderson Recruitment!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Principal Data Modeller (Snowflake) at Sanderson Recruitment.

Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Sanderson Recruitment.

Apply Directly through Our Website

When you find a suitable opening like Principal Data Modeller (Snowflake) at Sanderson Recruitment, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Principal Data Modeller (Snowflake) in Bath

Data Modelling
Snowflake
Enterprise Data Model
Data Analysis
Data Governance
SQL
Data Warehousing

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, 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. 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

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!

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.