Ready for a challenge?
Whether it’s a Friday-night feast, a post-gym poke bowl, or grabbing some groceries, our tech platform connects tens of millions of customers with hundreds of thousands of restaurant, grocery and convenience partners across the globe.
About the role
Just Eat Takeaway is looking to hire an Analytics Engineer for the Food Discovery Algorithms team, which is responsible for building machine learning driven features that help our customers to find the restaurants and dishes they’ll love. You will be working in a data-driven environment as part of a multidisciplinary team. You will work closely with our data scientists, product manager, analyst and engineers to ensure the data that is required for our features and analytics is reliable, suitable and easy to use.
You will be a self-starter with an interest in data, experimentation and machine learning, able to work with uncertainty and evolving requirements as we adapt and change to new insights and data, You don’t need prior experience of working with machine learning, but you will be someone who is confident with large datasets, and able to work closely with others or under your own initiative to collaborate, learn and solve problems.
These are some of the key ingredients to the role:
* Designing and implementing datasets using ETL pipelines written in SQL that can be used by the team for various purposes such as training models or evaluating feature performance. These will need to be quality assured, well documented and with sufficient observability for anomaly detection in the underlying data. To build these datasets, it may be necessary to collect requirements from product, engineering or data science.
* Contributing to the definition of product features based on your knowledge of the data points that will power them.
What will you bring to the table:
* Strong experience with SQL, including an understanding of how to improve the efficiency of SQL queries.
* Experience of working with and analysing data. Can plot distributions, describe qualities of data sets. Is statistically or mathematically mindful.
* Have some experience dealing with data quality and how to handle missing values. Can make informed decisions based on the domain.
* Able to collaborate effectively with product, IT stakeholders and other colleagues
* Experience of web and app tracking implementations on customer-facing or ecommerce applications
* Has some understanding of Cloud Services (Amazon Web Services or similar e.g Azure, Google Cloud) and event-driven architecture.
At JET, this is on the menu:
Our teams forge connections internally and work with some of the best-known brands on the planet, giving us truly international impact in a dynamic environment.
Fun, fast-paced and supportive, the JET culture is about movement, growth and about celebrating every aspect of our JETers. Thanks to them we stay one step ahead of the competition.
Inclusion, Diversity & Belonging:
What else are we delivering?