Data Engineer

Just Eat Takeaway.com; Amsterdam; Hybrid; EUR 70,000 - 100,000; Full time

Job summary

Just Eat Takeaway.com in Amsterdam is seeking an enthusiastic Data Engineer to join our Partner and Sales data team. You will design scalable ETL/ELT pipelines on GCP, build robust data pipelines, and scale measurement datasets into actionable insights for ML and analytical use cases.

This hybrid role requires 3 days in the Amsterdam office and 2 days working from home. You will use Airflow, dbt, SQL and Python, collaborate with analysts and data scientists, and help ensure data quality and

Qualifications

• Experience in data engineering or similar roles with production-grade pipelines.
• Strong SQL and data modelling skills, paired with Python for workflows.
• Hands-on experience with Airflow and dbt, and Git with CI/CD.
• Knowledge of at least one cloud platform (GCP, AWS or Azure).
• Familiarity with AI/LLM-powered tooling and data foundations for AI/ML use cases.
• Collaborative, solutions-oriented mindset with strong communication and data reliability.

Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines and a semantic layer on GCP, leveraging Airflow and dbt.
• Design and implement dimensional data models (star and snowflake) for analysis and reporting.
• Build AI-ready data pipelines and feature datasets for ML/analytical use cases.
• Leverage SQL and Python to transform, optimize, and analyze large datasets across partner and sales domains.
• Ensure data quality, reliability, and performance within DQ frameworks, SLAs, and alerting systems.
• Collaborate with analysts, data scientists, and stakeholders to translate requirements into data solutions.

Skills

SQL

Data modelling

Python

Airflow

dbt

Git

CI/CD

GCP

AI/LLM tooling

Tools

Airflow

dbt

Job description

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.