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 seeking an enthusiastic Data Engineer to join our Partner and Sales data team. In this role, you will play a pivotal part in designing scalable solutions for the efficient use of big data within Google Cloud Platform (GCP) projects. Together with the team, you will be responsible for building and optimizing robust data pipelines and further scaling the measurement datasets to turn them into actionable insights - including pipelines that serve as the foundation for machine learning and AI use cases.
* Please note that this position is located in Amsterdam (3 days a week from our Amsterdam office and 2 days working from home)
These are some of the key components to the position:
- Design, develop, and maintain scalable ETL/ELT pipelines and a semantic layer on GCP, leveraging Airflow for orchestration and dbt for transformation and modeling.
- Design and implement dimensional data models (star and snowflake schemas) to organize and optimize data for analysis and reporting.
- Build AI-ready data pipelines and feature datasets supporting machine learning and analytical AI use cases.
- Leverage advanced SQL and Python to transform, optimize, and analyze large datasets across partner and sales domains.
- Ensure data quality, reliability, and performance across the stack — operating within and contributing to established DQ frameworks, SLAs, and alerting systems.
- Collaborate closely with analysts, data scientists, and business stakeholders to translate requirements into robust data solutions.
What will you bring to the team?
- Experience in data engineering or similar roles, with a track record of delivering production-grade data pipelines.
- Strong SQL and data modelling skills, including dimensional modelling concepts, paired with Python proficiency for building and automating data workflows.
- Hands-on experience with tools such as Airflow and dbt, and comfort with Git and CI/CD principles.
- Solid knowledge of at least one major cloud platform (GCP, AWS, or Azure) and its data-native services.
- Familiarity with AI/LLM-powered developer tooling and an interest in building data foundations that enable AI and ML use cases.
- A collaborative, solutions-oriented mindset with strong communication skills and a sharp eye for data reliability.
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!
Recruiter LinkedIN tag: #LI-AO1
Skills Required
- Experience in data engineering or a similar role delivering production-grade data pipelines
- Strong SQL and data modeling skills, including dimensional modeling
- Python proficiency for building and automating data workflows
- Hands-on experience with Apache Airflow and dbt
- Familiarity with Git and CI/CD principles
- Knowledge of at least one major cloud platform, such as GCP, AWS, or Azure, and its data-native services
- Familiarity with AI or LLM-powered developer tooling
- Strong communication and collaborative, solutions-oriented skills
- Interest in building data foundations for AI and machine learning use cases
What We Do
Just Eat Takeaway.com is a leading global online food delivery marketplace, connecting consumers and restaurants through our platform in 20 countries. Like a dinner table, working at JET brings our office employees and couriers together. From coding to customer service to couriers, JET is a fun, fast-paced and supportive place where you can be yourself. No day is the same. Our days are filled with new experiences. We see every challenge that comes our way as a chance to grow, both the business, and ourselves. We’re connected to millions of food-lovers, hundreds of thousands of connected partners and some of the best-known brands of the planet. When you take your seat here, you’ll find that a simple scribble on a napkin can turn into something seen by millions. Together we transform, create, reinvent and empower every food moment. As a leading online food tech company, JET brings together the stability of a global business, with the agility of a start-up. We got here by always staying one step ahead of the competition. So load up your plate with ideas that get you excited, because at JET everything is on the table. https://careers.justeattakeaway.com
