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For Companies At a Glance
- Tasks: Explore and innovate with data to build impactful products and infrastructure.
- Company: Feefo, a leading tech company transforming customer feedback into actionable insights.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Join a dynamic team and make a real difference in how brands connect with customers.
- Qualifications: 1-3 years in Data Engineering, advanced SQL skills, and cloud experience.
- Other info: Collaborative environment with a focus on innovation and career development.
The predicted salary is between 36000 - 60000 £ per year.
Feefo helps both consumers and businesses make the right decisions. Founded in 2010, Feefo works with 6,000+ brands worldwide to collect reliable and constructive reviews they can learn from and display. We invite confirmed customers to leave feedback, which results in reliable, fake-free reviews, so consumers can learn how people like them feel about different products and services. And companies can discover what they’re doing right, and where they can improve. This allows Feefo’s clients to create transparent, trusted relationships and deliver exceptional services that their customers can depend on - every time.
We’re a team of technology specialists, industry experts, and multi-lingual client services champions that operates across various sectors, including travel, retail, automotive, and finance. Feefo’s bespoke artificial intelligence, business insight, review software and compliance solutions help increase client sales and reduce churn. As a Google Premier Partner, our clients can improve their search and paid conversion rates too. We are proud to work with companies, large and small, from household names to local heroes.
About The Role
Feefo’s unique dataset contains millions of interactions between users and brands around the globe. Does exploring the data and finding innovative ways to collect, curate, and make it easily accessible for others to use excite you? Come and join us!
As the Data Engineer you will:
- Collaborate cross functionally with engineering, product and data teams to build impactful data products and infrastructure.
- Your team will own, maintain and continuously improve Feefo’s internal data engineering stack and capability using best in class technology.
The role will be based from the successful candidates closest location, either London or Petersfield with expected attendance at the office in a hybrid pattern.
What You’ll Already Have
- 1-3 years' experience in Data Engineering on cloud infrastructure (Feefo uses Google Cloud).
- Advanced SQL skills, with a good understanding of how to write performant SQL and debug problems.
- Experience with data warehousing patterns and techniques.
- Experience with cloud based relational and non-relational database technologies, preferably BigQuery, Postgres, Datastore.
- Data transformation tools, preferably DBT.
- ETL tools, pipeline design and orchestration.
- Proficiency with an object-oriented programming language, preferably Python.
What Else You Could Bring
- Containerisation, Kubernetes.
- Experience optimising Looker workloads.
- Event driven design.
- Machine Learning Engineer experience.
- Management or mentoring experience.
Data Engineer employer: Feefo
Contact Detail:
Feefo Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with current Feefo employees on LinkedIn. A friendly chat can sometimes lead to opportunities that aren’t even advertised!
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your data engineering expertise, especially with Google Cloud and SQL. This will give you an edge during interviews and show that you’re ready to hit the ground running.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions related to data engineering and be ready to discuss your past experiences. Mock interviews with friends or mentors can help you nail your responses.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the Feefo team!
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with cloud infrastructure, SQL skills, and any relevant projects you've worked on. We want to see how your background aligns with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about working at Feefo and how you can contribute to our data engineering team. Be genuine and let your personality come through.
Showcase Your Technical Skills: Don’t forget to showcase your technical skills in your application. Mention your experience with tools like BigQuery, DBT, and Python. We love seeing candidates who are passionate about technology and data!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at Feefo
✨Know Your Data Tools
Make sure you brush up on your knowledge of cloud infrastructure, especially Google Cloud, as well as SQL and data warehousing techniques. Be ready to discuss specific projects where you've used these tools, as it shows you can apply your skills in real-world scenarios.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've debugged SQL problems or optimised data pipelines. Companies love candidates who can think critically and solve issues efficiently, so have a few stories ready that highlight your analytical thinking.
✨Understand the Company’s Mission
Familiarise yourself with Feefo's mission of providing reliable reviews and how their technology supports this. Being able to articulate how your role as a Data Engineer contributes to this mission will demonstrate your genuine interest in the company.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the data engineering stack, and future projects. This not only shows your enthusiasm for the role but also helps you gauge if the company culture aligns with your values.
