Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead the development of a cutting-edge data platform using Snowflake and AI technologies.
- Company: Join a leading retail company in Greater London with a focus on innovation.
- Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Shape the future of data technology while mentoring a passionate team.
- Qualifications: Strong experience with Snowflake, AWS, Python, and a knack for data modelling.
- Other info: Be part of a dynamic team that values engineering excellence and collaboration.
The predicted salary is between 48000 - 72000 £ per year.
A leading retail company in Greater London seeks a Tech Lead to enhance its Enterprise Data Platform. In this hybrid role, you will shape the technical direction for a Snowflake-based ecosystem, mentor engineers, and collaborate across teams to ensure top data quality and performance.
Ideal candidates will have strong experience with:
- Snowflake
- AWS services
- Python
- Data modeling
Coupled with a passion for team development and engineering excellence.
Data Platform Tech Lead — Snowflake & AI employer: Selfridges
Contact Detail:
Selfridges Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Platform Tech Lead — Snowflake & AI
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at the company you're eyeing. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your experience with Snowflake, AWS, and Python. This will not only impress but also give you something tangible to discuss during interviews.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on data modelling and problem-solving scenarios. We recommend doing mock interviews with friends or using online platforms to simulate the real deal.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Platform Tech Lead — Snowflake & AI
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Snowflake, AWS, and Python. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data platforms and team development. We love seeing candidates who can articulate their vision for engineering excellence.
Showcase Your Mentoring Skills: Since mentoring is key in this role, share examples of how you've supported and developed other engineers. We’re looking for leaders who can inspire and elevate their teams!
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’re considered for this exciting opportunity!
How to prepare for a job interview at Selfridges
✨Know Your Snowflake Inside Out
Make sure you brush up on your Snowflake knowledge. Be ready to discuss its architecture, features, and how you've used it in past projects. Prepare examples of how you've optimised data performance or solved issues using Snowflake.
✨Showcase Your Mentoring Skills
As a Tech Lead, mentoring is key. Think of specific instances where you've guided engineers or improved team dynamics. Be prepared to share your approach to fostering growth and collaboration within a team.
✨Demonstrate Your AWS Expertise
Familiarise yourself with the AWS services relevant to data platforms. Be ready to explain how you've integrated AWS with Snowflake in previous roles, and discuss any challenges you faced and how you overcame them.
✨Prepare for Technical Scenarios
Expect technical questions or scenarios during the interview. Practice explaining your thought process for data modelling and engineering challenges. This will show your problem-solving skills and technical depth, which are crucial for this role.
