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.  

To learn more visit: www.feefo.com, LinkedIn, and Twitter. 

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