At a Glance
- Tasks: Design and build data processing capabilities on our innovative Mobius platform.
- Company: Join Just Eat Takeaway.com, a leading global online delivery platform.
- Benefits: Enjoy a hybrid work model, competitive salary, and a supportive culture.
- Other info: Be part of an inclusive culture that values diversity and personal growth.
- Why this job: Make a real impact by shaping the future of data analytics in a dynamic environment.
- Qualifications: Strong coding skills in Python/Java/Scala and experience with data transformation tools.
The predicted salary is between 70000 - 85000 £ per year.
Ready for a challenge?
Then Just Eat Takeaway. com might be the place for you. We’re a leading global online 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
We are looking for a Senior Data Engineer to join the Batch Data Tools team within the Global Intelligence Platforms organisation, where you will play a central role in building and evolving Mobius - our internal unified analytics and data platform that powers data workloads at scale across Just Eat Takeaway.
Mobius is a Kubernetes-native, declarative data platform that abstracts away infrastructure complexity so that data engineers across the business can provision and manage batch and streaming pipelines through a simple, expressive API.
As part of the Batch Data Tools team, you will own the components that make this a reality for batch processing.
We're looking for someone who can live our behaviours of lead, deliver and care, bring fresh ideas, challenge the status quo, and push for bold, creative solutions to drive the Just Eat Takeaway vision forward.
Location: Hybrid - 3 days a week from our London office & 2 days working from home Reporting to: Engineering Manager of Batch Data Tools
These are some of the key components to the position
- Design, build, and continuously improve batch and data processing capabilities on the Mobius platform, holding yourself and the team to a high standard of reliability and maintainability.
- Contribute to the evolution of Mobius platform capabilities, helping shape architecture decisions that scale with the organisation's growing data needs.
- Partner closely with internal teams to understand their data requirements, translating them into well-engineered, production-ready solutions.
- Set up and own observability for data workloads - monitoring, alerting, and logging - and lead incident response when things don't go to plan.
- Participate actively in code reviews, raising the bar for engineering standards and sharing knowledge generously across the team.
- Collaborate across Global Intelligence Platforms org and with external teams to ensure Mobius delivers real, measurable value to the business.
- Identify and drive improvements to tooling, processes, and developer experience, making it easier for teams to build on top of Mobius with confidence.
- Contribute to team planning and prioritisation, helping to break down complex problems into clear, achievable goals that keep the team moving forward.
What will you bring to the team?
- Strong coding skills (Python/Java/Scala), with a track record of building and maintaining reliable, production-grade software at scale.
- Confidence in working with Kubernetes-native platforms to deploy and operate data workloads across cloud environments is preferred. Knowledge of Golang is a strong advantage.
- Hands-on experience with data transformation tools such as Spark and DBT, with a focus on building well-tested, maintainable data products is a strong advantage.
- Familiarity with Apache Iceberg table format and schema management via catalogs such as AWS Glue, with an appreciation for data quality and consistency is a strong advantage.
- Solid grounding in core AWS data and messaging services (S3, Glue ETL, Dynamo DB, SNS, SQS, Redis) and how they fit together in modern data architectures.
- Proficiency in SQL and experience querying large-scale datasets with engines such as Athena to surface insights for internal and external partners is a strong advantage..
- Experience orchestrating and scheduling data workflows, with an understanding of pipeline dependency management principles (e. g., Airflow) is a strong advantage.
- Comfortable establishing monitoring, logging, and alerting for any applications to drive operational excellence and fast incident response.
- A collaborative, growth-oriented mindset: you build strong relationships across teams, stay committed to shared goals, and actively look for ways to raise the bar.
- At JET, this is how we play
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.
Being the best at what we do isn’t just about delivering on our strategy.
It's a competition for something incredibly valuable – our customers' choice.
Every time a customer decides where to order, they're picking a side.
At the heart of the JET Customer League are our values and behaviours.
They guide every interaction, every decision, every innovation.
These are the actions we need to perform consistently and brilliantly, to surpass the competition and earn our customers’ loyalty, again and again.
Fun, fast-paced and supportive, the JET culture is about movement, growth, helping one another to succeed and celebrating wins.
By truly living our values and embodying our behaviours, we’re building a customer-first culture which enables us to 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 are we delivering?
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 journeys.
Are you ready to join the team? Apply now!
#LI-NB2
Senior Data Engineer employer: Just Eat
Just Eat offers an exceptional opportunity for self-employed delivery riders, providing the freedom to choose your own hours and work at your convenience. With weekly pay and a supportive work culture that values flexibility, you can balance your personal life while earning a competitive income. Join us in a dynamic environment where your independence is celebrated and your growth as a rider is encouraged.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer
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We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Just Eat, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Just Eat. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Just Eat
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Just Eat!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.