Analytics Engineer

CompanyJust Eat Takeaway.com

LocationLondon, England, United Kingdom

Posted At3/7/2026

UK Visa Sponsorship Analytics

Analytics are greyed out due to low classification confidence (41.0%).

Occupation Type

Telecoms and related network installers and repairers

Occupation Code Skill LevelMedium Skilled

Sponsorship Salary Threshold

£41,700 (£21.38 per hour)

Standard minimum applies

Above analytics are generated algorithmically based on job titles and may not always be the same as the company's job classification. You can also check detailed occupation eligibility, and salary criteria on our UK Visa Eligible Occupations & Salary Thresholds page.

Disclaimer: Hunt UK Visa Sponsors aggregates job listings from publicly available sources, such as search engines, to assist with your job hunting. We do not claim affiliation with Just Eat Takeaway.com. For the most up-to-date job details, please visit the official website by clicking "Apply Now."

Description

Ready for a challenge?

Just Eat Takeaway.com might be the place for you. We’re a leading global online food delivery platform, and our vision is to empower everyday convenience.

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 This Role

Just Eat is looking to hire an Analytics Engineer for the Customer Product Analytics team, which is responsible for enhancing the customer journey for users across our website and app by delivering data-driven insights and optimising our product experience. You will be working in a data-driven environment as part of a multidisciplinary team. You will work closely with our product analysts, data scientists, product manager, and engineers to ensure the data that is required for our features and analytics is reliable, suitable and easy to use. A primary focus of this role is to design and maintain a Single Source of Truth (SSOT) for product behavioural data, ensuring consistency across reporting layers and reducing data silos between teams.

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.

Location: Hybrid- 3 days a week from JETs London office & 2 days working from home

Reporting to: Product Analytics Manager

These are some of the key components to the position:

Own the design of optimized Fact & Dimension tables (Star Schemas) to provide a standardized, "single source of truth" for user interactions and conversions.
Build and maintain robust SQL-based ETL pipelines ensuring data 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 built-in observability for anomaly detection in the underlying data.
Partner with Product and Engineering to shape feature development by identifying and collecting the necessary data touchpoints before code is even written.
Contributing to the definition of product features based on your knowledge of the data points that will power them.
Act as the “go-to” person for data governance best practices.

What will you bring to the team?

Advanced SQL proficiency, including an understanding of how to improve the efficiency of SQL queries, and a "Software Engineering" approach to data (version control, modularity, and testing).
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 or anomalies. Can make informed decisions based on the domain.

Able to collaborate effectively with Product, Engineering stakeholders and other colleagues.

Experience of web and app tracking implementations on customer-facing or ecommerce applications would be advantageous.

Experience with ETL/Orchestration tools (e.g. DBT, Airflow) is strongly preferred.

Some understanding of Cloud Services (AWS or similar e.g Azure, Google Cloud) and event-driven architecture would be advantageous.

Guiding & mentoring others, sharing your knowledge and skills with the wider team whilst further developing your skills through learning and training opportunities.

We do not expect every applicant to have a background in analytics or BI engineering. A candidate with a role as a data analyst or a data engineer with heavy experience of SQL would also fit the role well.

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

No matter who you are, what you look like, who you love, or where you are from, you can find your place at Just Eat Takeaway.com. We’re committed to creating an inclusive culture, encouraging diversity of people and thinking, in which all employees feel they truly belong and can bring their most colourful selves to work every day.

What else is cooking?

Want to know more about our JETers, culture or company? Have a look at our career site where you can find people's stories, blogs, podcasts and more JET morsels.

Are you ready to take your seat? Apply now!