At a Glance
- Tasks: Design and maintain scalable analytics models and transform raw data into reliable insights.
- Company: Join Just Eat Takeaway.com, a leading global online food delivery marketplace.
- Benefits: Hybrid work model, dynamic culture, and opportunities for growth and learning.
- Other info: Inclusive culture that celebrates diversity and encourages personal growth.
- Why this job: Be part of a passionate team shaping the future of Retail Media analytics.
- Qualifications: Strong SQL skills, experience with dbt, and a collaborative mindset.
The predicted salary is between 50000 - 60000 € per year.
Ready for a challenge? 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 are looking for a passionate Analytics Engineer to join our Retail Media Insights & Enablement team. This team plays a key role in shaping the semantic data layer that powers Retail Media analytics, experimentation, and data-driven product development. As part of a multidisciplinary team including data engineers, data scientists, ML engineers, and analysts, you will design and maintain trusted analytics models and reusable datasets that power dashboards, internal tools, experimentation platforms, and emerging AI-driven analytics workflows. You’ll also partner with the broader Product & Tech department, helping scale capabilities across our wider engineering teams.
We’re seeking problem-solvers, who are passionate about data quality, scalable infrastructure, and empowering business users with reliable information. You will transform raw advertising and customer data into reliable, well-structured data products that support campaign optimisation, advertiser insights, and product innovation across Retail Media.
Location: Hybrid - 3 days a week from JET's London office & 2 days working from home.
These are some of the key components to the position:
- Design and maintain scalable analytics models and semantic datasets that act as the source of truth for Retail Media metrics.
- Build modular data transformations using dbt and SQL following analytics engineering best practices.
- Define and maintain core business metrics such as campaign performance, conversion rates, and ROAS.
- Develop and maintain reliable data pipelines and workflows using orchestration tools such as Airflow.
- Ensure data quality through testing, monitoring, and CI/CD practices using Git-based workflows and GitHub Actions.
- Collaborate closely with data scientists, ML engineers, analysts and product teams to support experimentation and modelling.
- Enable scalable data consumption across dashboards, applications, and machine learning systems.
- Contribute to shared standards, documentation, and best practices within the broader JET data community.
- Create and maintain data workflows using modern tools like Airflow and dbt.
- Experienced and/or open to using Agentic tools like co-pilot, cursor, kiro or codex.
- Contribute to shared tools, documentation and best practices in the wider data engineering and analytics community at JET.
What will you bring to the team?
- Strong SQL skills and experience designing scalable analytics data models.
- Hands-on experience with dbt for production data transformations.
- Production experience with a modern transformation tool, specifically dbt.
- Experience working with modern cloud data warehouses with Amazon Redshift and/or Google BigQuery.
- Strong grasp of software engineering principles including version control (Git) and testing methodologies in a data environment.
- Demonstrated experience orchestrating pipelines using tools such as Apache Airflow.
- Understanding of data quality, testing and monitoring practices in analytics environments.
- Experience connecting data models to and supporting users of Visualisation platforms (i.e. Tableau, Looker Studio or Quicksight).
- A collaborative mindset, eager to learn and share knowledge with peers while providing ongoing support to users.
- Experience with programming languages like Python.
Nice to have:
- Experience working with advertising or Retail Media datasets.
- Experience supporting experimentation or A/B testing platforms.
- Experience with large-scale event data.
- Exposure to semantic layers or metrics frameworks.
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!
Analytics Engineer employer: Just Eat
At Just Eat Takeaway.com, we pride ourselves on being an exceptional employer, offering a vibrant and inclusive work culture that fosters growth and innovation. As an Analytics Engineer in our London office, you'll collaborate with a diverse team of experts, enjoy hybrid working flexibility, and have access to continuous learning opportunities, all while contributing to our mission of empowering food moments worldwide.
StudySmarter Expert Advice🤫
We think this is how you could land Analytics Engineer
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Just Eat Takeaway.com on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by brushing up on your SQL and dbt skills. Be ready to discuss how you've tackled data quality issues in the past. Show them you're not just about the numbers, but also about problem-solving!
✨Tip Number 3
Don’t forget to showcase your collaborative spirit! JET loves team players, so share examples of how you've worked with others to achieve common goals, especially in data projects.
✨Tip Number 4
Finally, apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of the JET family.
We think you need these skills to ace Analytics Engineer
Some tips for your application 🫡
Show Your Passion for Data:When writing your application, let us see your enthusiasm for data! Share specific examples of how you've tackled data challenges in the past and what excites you about working with analytics. We love seeing candidates who are genuinely passionate about what they do.
Tailor Your Application:Make sure to customise your application to highlight your relevant skills and experiences that align with the Analytics Engineer role. Use keywords from the job description to demonstrate that you understand what we're looking for and how you fit into our team.
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and focus on communicating your ideas effectively. A well-structured application makes it easier for us to see your potential!
Apply Through Our Website:Don’t forget to submit your application through our official website! This ensures that we receive all your details correctly and helps us keep track of your application. Plus, it’s the best way to stay updated on your progress with us.
How to prepare for a job interview at Just Eat
✨Know Your SQL Inside Out
As an Analytics Engineer, strong SQL skills are a must. Brush up on your SQL queries and be ready to discuss how you've used them in past projects. Prepare to explain your thought process when designing scalable analytics data models.
✨Familiarise Yourself with dbt
Since you'll be using dbt for production data transformations, make sure you understand its core functionalities. Be prepared to share examples of how you've implemented dbt in your previous roles and the impact it had on your data workflows.
✨Showcase Your Collaboration Skills
This role involves working closely with data scientists, ML engineers, and product teams. Think of specific instances where you've collaborated effectively in a team setting. Highlight how you contributed to shared standards and best practices in your previous positions.
✨Demonstrate Your Problem-Solving Mindset
JET is looking for problem-solvers who are passionate about data quality. Prepare to discuss challenges you've faced in your analytics work and how you approached solving them. This will show your potential employer that you're proactive and resourceful.
