Analytics Engineer

London
1 day ago
Create job alert

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 where you can find people's stories, blogs, podcasts and more JET morsels.

Are you ready to take your seat? Apply now! 

#LI-RB1

Related Jobs

View all jobs

Lead Analytics Engineer

Lead Data/Head of Data Engineer

Senior Data Analyst

Data Engineer

Back End Software Engineer

Data Engineer

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How Many Robotics Tools Do You Need to Know to Get a Robotics Job?

If you’re pursuing a career in robotics, it can feel like the list of tools you should learn never ends. One job advert asks for ROS, another mentions Gazebo, another wants experience with Python, Linux, C++, RobotStudio, MATLAB/Simulink, perception stacks, control frameworks, real-time OS, vision libraries — and that’s just scratching the surface. With so many frameworks, languages and platforms, it’s no wonder robotics job seekers feel overwhelmed. But here’s the honest truth most recruiters won’t say explicitly: 👉 They don’t hire you because you know every tool — they hire you because you can apply the right tools to solve real robotics problems reliably and explain your reasoning clearly. Tools matter — but only in service of outcomes. So the real question isn’t how many tools you should know, but which tools you should master and why. For most robotics roles, the answer is significantly fewer — and far more focused — than you might assume. This article breaks down what employers really expect, which tools are core, which are role-specific, and how to focus your learning so you look capable, confident, and ready to contribute from day one.

What Hiring Managers Look for First in Robotics Job Applications (UK Guide)

Robotics is one of the most dynamic, interdisciplinary fields in technology — blending mechanical systems, embedded software, controls, perception (AI/vision), modelling, simulation and systems integration. Hiring managers in this space are highly selective because robotics teams need people who can solve real-world problems under constraints, work across disciplines, and deliver safe, reliable systems. And here’s the reality: hiring managers do not read every word of your CV. Like in many tech domains, they scan quickly — often forming a judgement in the first 10–20 seconds. In robotics, those first signals are especially important because the work is complex and there’s a wide range of candidate backgrounds. This guide unpacks exactly what hiring managers look for first in robotics applications and how to optimise your CV, portfolio and cover letter so you stand out in the UK market.

The Skills Gap in Robotics Jobs: What Universities Aren’t Teaching

Robotics is no longer confined to science fiction or isolated research labs. Today, robots perform critical tasks across manufacturing, healthcare, logistics, agriculture, defence, hospitality and even education. In the UK, businesses are embracing automation to improve productivity, reduce costs and tackle labour shortages. Yet despite strong interest and a growing number of university programmes in robotics, many employers report a persistent problem: graduates are not job-ready for real-world robotics roles. This is not a question of intelligence or dedication. It is a widening skills gap between what universities teach and what employers actually need in robotics jobs. In this article, we’ll explore that gap in depth — what universities do well, where their programmes often fall short, why the disconnect exists, what employers really want, and how you can bridge the divide to build a thriving career in robotics.