Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Collaborate with teams to maintain and enhance data engineering stack using cloud tech.
- Company: A cutting-edge review platform focused on data innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact by building products that drive client success.
- Qualifications: 1-3 years of Data Engineering experience, advanced SQL, and Python skills.
- Other info: Join a dynamic team in London or Petersfield with a focus on innovation.
The predicted salary is between 36000 - 60000 £ per year.
A technology-driven review platform is seeking a Data Engineer to collaborate with engineering and product teams. The ideal candidate will have 1-3 years of Data Engineering experience, advanced SQL skills, and proficiency in Python. This role offers a hybrid work model, servicing locations around London or Petersfield. You will maintain Feefo's data engineering stack and leverage cloud infrastructure to build impactful products. Join a team that prioritises data innovation and client success.
Hybrid Data Engineer — Cloud, BigQuery & Python employer: Feefo Holdings Limited
Contact Detail:
Feefo Holdings Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid Data Engineer — Cloud, BigQuery & Python
✨Tip Number 1
Network like a pro! Reach out to current employees at the company through LinkedIn or other platforms. A friendly chat can give us insights into the company culture and might even lead to a referral.
✨Tip Number 2
Prepare for the interview by brushing up on your SQL and Python skills. We recommend doing some hands-on projects or coding challenges to showcase your expertise during the interview.
✨Tip Number 3
Showcase your passion for data innovation! During interviews, share examples of how you've used data to drive decisions or improve processes. This will help us stand out as a candidate who truly understands the impact of data.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive opportunities listed there that you won’t find anywhere else.
We think you need these skills to ace Hybrid Data Engineer — Cloud, BigQuery & Python
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your SQL and Python skills in your application. We want to see how you've used these tools in your previous roles, so don’t hold back on the details!
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. Mention how your experience aligns with our focus on data innovation and client success. It’ll make you stand out!
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon and get straight to the point about your experience and what you can bring to the team.
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 the role. Plus, it’s super easy!
How to prepare for a job interview at Feefo Holdings Limited
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially BigQuery and Python. Brush up on your SQL skills too, as they’ll likely test your knowledge during the interview.
✨Showcase Your Collaboration Skills
Since this role involves working with engineering and product teams, be prepared to discuss past experiences where you successfully collaborated with others. Highlight how you contributed to team projects and the impact of your work.
✨Prepare for Scenario Questions
Expect questions that ask how you would handle specific data engineering challenges. Think about real-world problems you've solved in the past and be ready to explain your thought process and the tools you used.
✨Ask Insightful Questions
At the end of the interview, have a few thoughtful questions ready about the company’s data innovation strategies or the team dynamics. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
