Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop and maintain data warehousing solutions using DBT and Snowflake.
- Company: Join a forward-thinking company in Basildon with a focus on innovation.
- Benefits: Enjoy a competitive salary, health benefits, and opportunities for professional growth.
- Other info: Collaborative environment with excellent career advancement opportunities.
- Why this job: Make an impact by optimising data models and supporting analytics needs.
- Qualifications: Hands-on experience with DBT, Snowflake, and strong SQL skills required.
The predicted salary is between 50000 - 60000 £ per year.
Role: Data Modeller
Primary Skills: Snowflake, DBT, ETL, SQL
Mode: 5 Days from Basildon
Type: FTE/Perm
Strong SQL skills
- DBT model development
- Snowflake ETL pipelines
- Data transformation design
Responsibilities:
- Develop and maintain data warehousing solutions using DBT and Snowflake
- Build robust ETL/Elt pipelines to support analytics and reporting needs
- Ensure data quality, integrity, and security within the warehouse environment
- Optimise queries and data models for performance and cost efficiency
Qualifications:
- Hands-on experience with DBT, Snowflake, and SQL-based data warehousing
- Strong understanding of data warehousing principles and best practices
- Ability to work collaboratively with business and technical teams
Skills:
- Mandatory Skills: Snowflake
- Good to Have Skills: DBT
Data Modeler in Slough employer: Net2Source (N2S)
Contact Detail:
Net2Source (N2S) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Modeler in Slough
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those who work with Snowflake and DBT. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL queries, ETL pipelines, and any data models you've developed. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data warehousing principles and best practices. Be ready to discuss how you've tackled challenges in past projects, especially around data quality and optimisation.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are proactive and engaged. Plus, it makes it easier for us to connect with you directly about opportunities that fit your skills.
We think you need these skills to ace Data Modeler in Slough
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Snowflake, DBT, and SQL. We want to see how your skills match the role of a Data Modeller, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data warehousing and how your background makes you a perfect fit for our team at StudySmarter.
Showcase Your Projects: If you've worked on any cool data transformation or ETL projects, make sure to mention them! We love seeing real-world applications of your skills, especially in relation to DBT and Snowflake.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Net2Source (N2S)
✨Know Your Tech Inside Out
Make sure you brush up on your Snowflake, DBT, and SQL skills. Be ready to discuss how you've used these technologies in past projects. Prepare some examples of ETL pipelines you've built or data transformations you've designed.
✨Showcase Your Problem-Solving Skills
During the interview, be prepared to tackle hypothetical scenarios related to data warehousing. Think about how you would ensure data quality and integrity, and be ready to explain your thought process clearly.
✨Collaborate Like a Pro
Since the role involves working with both business and technical teams, highlight your experience in collaborative environments. Share examples of how you've successfully communicated complex data concepts to non-technical stakeholders.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company's data strategy and challenges they face. This shows your genuine interest in the role and helps you understand if it's the right fit for you.