At a Glance
- Tasks: Build and enhance backend systems for Yelp's Search platforms.
- Company: Join Yelp, a leading platform in the tech industry.
- Benefits: Enjoy competitive salary, private health insurance, and flexible hours.
- Other info: Dynamic work environment with opportunities for growth and innovation.
- Why this job: Make a difference in search technology while collaborating with diverse teams.
- Qualifications: Fluency in Python or Java, SQL/NoSQL experience, and AWS skills.
The predicted salary is between 50000 - 65000 £ per year.
Yelp is seeking a data-oriented backend engineer based in Edinburgh, Scotland, to build and improve backend systems for their Search platforms. You will work with various teams to support prototyping and testing for a smarter search experience.
The role requires:
- Fluency in Python or Java
- Experience with SQL/NoSQL databases
- AWS proficiency
Yelp offers a collaborative environment, competitive salary, private health insurance, and flexible working hours.
Senior Data Backend Engineer, Search Quality employer: Yelp
Contact Detail:
Yelp Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Backend Engineer, Search Quality
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Yelp on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a GitHub repository showcasing your projects in Python or Java. Highlight any work with SQL/NoSQL databases and AWS to catch their eye.
✨Tip Number 3
Ace the interview prep! Research common backend engineering questions and practice coding challenges. We recommend using platforms like LeetCode or HackerRank to sharpen your skills.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the Yelp team and contributing to their search quality.
We think you need these skills to ace Senior Data Backend Engineer, Search Quality
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python or Java, and any work you've done with SQL/NoSQL databases. We want to see how your skills align with what we're looking for!
Tailor Your Application: Don’t just send a generic application! Take the time to customise your CV and cover letter to reflect how your background fits the Senior Data Backend Engineer role at Yelp. It shows us you’re genuinely interested.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so make sure your points are easy to understand and get straight to the point about your relevant experience.
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 us!
How to prepare for a job interview at Yelp
✨Know Your Tech Stack
Make sure you brush up on your Python or Java skills before the interview. Be ready to discuss your experience with SQL and NoSQL databases, as well as any projects you've worked on using AWS. This will show that you're not just familiar with the technologies but can also apply them effectively.
✨Understand Search Quality
Since the role focuses on improving search platforms, take some time to understand what makes a search experience great. Familiarise yourself with common challenges in search quality and think of examples from your past work where you’ve tackled similar issues. This will demonstrate your proactive approach and understanding of the field.
✨Collaborative Mindset
Yelp values collaboration, so be prepared to discuss how you've worked with different teams in the past. Think of specific instances where you contributed to a project by collaborating with others. Highlighting your teamwork skills will resonate well with their company culture.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the team dynamics, the current challenges they face with their search systems, or how they measure success in search quality. This shows your genuine interest in the role and helps you gauge if it’s the right fit for you.