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- Tasks: Design and build scalable data pipelines and backend services for advanced data insights.
- Company: Join Just Eat Takeaway.com, a leading global online food delivery marketplace.
- Benefits: Hybrid work model, inclusive culture, and opportunities for personal growth.
- Why this job: Make a real impact by transforming data science into reliable services for millions.
- Qualifications: Experience in data engineering, strong Python skills, and knowledge of SQL/NoSQL databases.
- Other info: Dynamic environment with a focus on innovation, collaboration, and celebrating diversity.
The predicted salary is between 36000 - 60000 £ per year.
Hungry for a challenge?
Scroll down to find an indepth overview of this job, and what is expected of candidates Make an application by clicking on the Apply button.
That’s good, because at Just Eat Takeaway.com (JET) we have abundant opportunity, or, as we say, everything is on the table. We are a leading global online food delivery marketplace. Our tech ecosystem connects millions of active customers with hundreds of thousands of connected partners in countries across the globe.
Our mission? To empower every food moment around the world, whether it’s through customer service, coding or couriers.
About this role
We\’re looking for an experienced Data & Backend Engineer to join the Insights and Enablement team. This newly established team sits within Retail Media, part of Jet Ventures, and plays a pivotal role in shaping how we use data from our Customer Data Platform (CDP), enabling advanced audience segmentation, data visualisation, dashboards and surfacing insights across Retail Media and the broader JET organisation.
This is not a typical Data/Backend Engineer, you’ll work at the intersection of software engineering, data engineering and applied AI/ML – designing, deploying, and scaling production systems that bring advanced data science research to production. You’ll partner closely with data scientists, product managers, analysts and engineers to transform prototypes into reliable, high performing services that deliver impact for advertisers and customers at scale.
We’re seeking self-starters, who are passionate about data, experimentation and emerging technologies in machine learning and AI, and as a senior member of the team, you’ll do more than code—you’ll help shape best practices, mentor others, and raise the technical bar.
Location: Hybrid- 3 days a week from our London office & 2 days working from home
Reporting to: Technology Manager
These are some of the key ingredients to the role
Design and build scalable data pipelines and event streaming architectures with a focus on quality and reliability..
Develop and optimise backend services, APIs, and databases to power segmentation, recommendation, targeting, and measurement.
Applying solid data engineering principles—schema design, efficient storage and retrieval, streaming, and ETL/ELT, with a focus on Top down/bottom up data modelling methodologies.
Orchestrate complex data workflows using modern tools like Airflow and dbt.
Champion best practices for DevOps, DataOps, including testing, CI/CD, orchestration, and monitoring.
Keeping systems observable and healthy, monitoring for data drift, model degradation, and service reliability.
Mentoring engineers, sharing knowledge, and helping the team grow stronger together.
What will you bring to the table?
Experience as a Data Engineer and/or Backend Engineer, with a track record of building and shipping large-scale, real-world data systems.
Strong Python coding skills and a deep understanding of distributed systems and backend services.
Develop and optimise backend services, APIs, and databases to power segmentation, recommendation, targeting, and measurement.
Strong knowledge of both SQL and NoSQL databases like PostgreSQL, BigQuery, Cassandra, or DynamoDB.
Experience with large-scale data platforms (e.g., Spark, Kafka, Flink, BigQuery) and cloud environments, with a preference for AWS or GCP.
Expertise in data engineering: pipelines, modeling, batch vs. event streaming, and ETL/ELT.
Demonstrated experience with modern data orchestration and transformation tools, including Airflow and dbt.
Proven knowledge of data warehouse design and data lake architecture, with specific expertise in data modeling methodologies like Kimball or Inmon.
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
Data/Backend Engineer - Retail Media employer: Just Eat Takeaway.com
Contact Detail:
Just Eat Takeaway.com Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data/Backend Engineer - Retail Media
✨Tip Number 1
Network like a pro! Reach out to current employees at Just Eat Takeaway.com on LinkedIn. A friendly message can go a long way in getting your foot in the door and showing your genuine interest in the role.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Since this role involves data engineering and backend services, make sure you can confidently discuss your experience with Python, SQL, and cloud platforms like AWS or GCP.
✨Tip Number 3
Showcase your passion for data and AI! During interviews, share examples of projects where you've applied machine learning or data engineering principles. This will help you stand out as a self-starter who’s ready to tackle challenges.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the JET family!
We think you need these skills to ace Data/Backend Engineer - Retail Media
Some tips for your application 🫡
Show Your Passion for Data: When you're writing your application, let your enthusiasm for data and technology shine through. We want to see that you're not just skilled, but genuinely excited about the role and how you can contribute to our mission.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for this specific role. Highlight your experience with data engineering, backend services, and any relevant projects that showcase your skills. We love seeing how your background aligns with what we do!
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language and avoid jargon where possible. We appreciate a well-structured application that makes it easy for us to see your qualifications and fit for the role.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our culture and values while you’re at it.
How to prepare for a job interview at Just Eat Takeaway.com
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python, SQL, and NoSQL databases. Brush up on your experience with data platforms like Spark and Kafka, as well as cloud environments like AWS or GCP. Being able to discuss these confidently will show that you’re ready to hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles, particularly around building scalable data systems or optimising backend services. Use the STAR method (Situation, Task, Action, Result) to structure your answers, making it easy for the interviewers to see how you approach problem-solving.
✨Demonstrate Your Team Spirit
Since this role involves mentoring and collaborating with others, be ready to share examples of how you’ve worked effectively in teams. Highlight any experiences where you’ve helped colleagues grow or contributed to a positive team culture. This will show that you’re not just a tech whiz but also a great team player.
✨Ask Insightful Questions
Prepare thoughtful questions about the team’s current projects, the tools they use, or their approach to data engineering best practices. This not only shows your genuine interest in the role but also gives you a chance to assess if the company culture aligns with your values.