Country Analytics - Junior Data Engineer

Takeaway.com; Amsterdam; Hybrid; EUR 40,000 - 62,000; Full time

Job summary

Just Eat Takeaway.com is seeking a Junior Data Engineer in Amsterdam to help build and scale data pipelines that power local markets and global analytics. You will work with data analysts, analytics engineers, and business stakeholders to deliver reliable data platforms.

You’ll contribute to pipeline development, data quality, and governance, while leveraging dbt, SQL, and cloud technologies. Hybrid work arrangement with 3 days in Amsterdam office and 2 days remote.

Qualifications

• Hands-on Mindset: A strong drive to take ownership of projects, debug complex data issues, and continuously learn new techniques.
• A sense of ownership and a proactive approach, contributing to the team’s success by full task ownership from inception to delivery.
• Core Data Engineering Principles: Solid foundational knowledge of relational databases, data warehousing concepts, ETL/ELT processes, and data modeling (e.g., dimensional modeling).
• Strong SQL Skills: Proficiency in writing, optimizing, and debugging complex SQL queries.
• Tech Curiosity: An innovative, exploratory mindset with an interest in leveraging modern data engineering tooling, automation, and AI solutions to solve data problems.
• Collaboration & Communication: Strong verbal and written communication skills, with the ability to articulate technical concepts to non-technical stakeholders in a fast-paced environment.
• Basic experience with data visualization platforms such as Tableau.
• Hands-on experience or coursework with dbt.
• Familiarity with modern cloud platforms (preferably Google Cloud Platform / GCP, BigQuery, or similar cloud data warehouses).
• Familiarity with Python or version control systems (e.g., Git and GitHub/GitLab).

Responsibilities

• Pipeline Development: Building, maintaining, and optimizing scalable, high-performing data pipelines using dbt, SQL, and modern cloud technologies.
• Collaboration: Partnering directly with data analysts and business leads to understand domain requirements and turn raw transactional data into structured, actionable insights.
• Data Quality & Governance: Implementing data quality checks, monitoring pipeline health, and applying data management best practices to ensure high reliability across our global platform.
• Automation & Efficiency: Creating clear documentation, standardizing data modeling workflows, and maintaining clean codebases for long-term scalability.
• Tech Exploration: Continuously exploring and integrating new technologies, modern stack tooling, and AI solutions to optimize reporting workflows and improve overall data efficiency.
• Agile Teamwork: Taking a proactive approach to your work and participating actively in global Agile teams (sprint planning, standups, and retrospectives).
• Familiarity with orchestration tools such as Airflow or Dagster, and a desire to optimise workflows for stability and speed.

Skills

SQL

dbt

Python

Airflow

Dagster

BigQuery

Cloud platforms

Git/GitHub

Tools

Tableau

Job description

Position: Junior Data Engineer

Department: Enterprise Reporting

Reports to: Steven Rutter

Work Model: 3 days a week from our Amsterdam office & 2 days working from home

Full time / Part time role: Full time, 1 year FTC

Ready for a challenge?

Just Eat Takeaway.com is a leading global online delivery platform, with a vision to empower everyday convenience.

About this role

As a Junior Data Engineer at Just Eat Takeaway.com, you will help build and scale data & analytics solutions that power our local markets and global leadership with world-class analytics tools. Working alongside data analysts, analytics engineers, and business stakeholders, you will play a key role in developing reliable data pipelines and shaping our global analytics landscape.

We are building the next generation of our data platform and are looking for a motivated junior engineer who can swim fast, react, and adapt. If you are up to date with modern data technologies, have a get-things-done attitude, and want to learn from a world-class team—you are looking for you!

These are some of the key components to the position:

• Pipeline Development: Building, maintaining, and optimizing scalable, high-performing data pipelines using dbt, SQL, and modern cloud technologies.
• Collaboration: Partnering directly with data analysts and business leads to understand domain requirements and turn raw transactional data into structured, actionable insights.
• Data Quality & Governance: Implementing data quality checks, monitoring pipeline health, and applying data management best practices to ensure high reliability across our global platform.
• Automation & Efficiency: Creating clear documentation, standardizing data modeling workflows, and maintaining clean codebases for long-term scalability.
• Tech Exploration: Continuously exploring and integrating new technologies, modern stack tooling, and AI solutions to optimize reporting workflows and improve overall data efficiency.
• Agile Teamwork: Taking a proactive approach to your work and participating actively in global Agile teams (sprint planning, standups, and retrospectives).
• Familiarity with orchestration tools such as Airflow or Dagster, and a desire to optimise workflows for stability and speed.

What will you bring to the team?

• Hands-on Mindset: A strong drive to take ownership of projects, debug complex data issues, and continuously learn new techniques.
• A sense of ownership and a proactive approach, contributing to the team’s success by full task ownership from inception to delivery.
• Core Data Engineering Principles: Solid foundational knowledge of relational databases, data warehousing concepts, ETL/ELT processes, and data modeling (e.g., dimensional modeling).
• Strong SQL Skills: Proficiency in writing, optimizing, and debugging complex SQL queries.
• Tech Curiosity: An innovative, exploratory mindset with an interest in leveraging modern data engineering tooling, automation, and AI solutions to solve data problems.
• Collaboration & Communication: Strong verbal and written communication skills, with the ability to articulate technical concepts to non-technical stakeholders in a fast-paced environment.
• Basic experience with data visualization platforms such as Tableau.
• Hands-on experience or coursework with dbt.
• Familiarity with modern cloud platforms (preferably Google Cloud Platform / GCP, BigQuery, or similar cloud data warehouses).
• Familiarity with Python or version control systems (e.g., Git and GitHub/GitLab).

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, helping one another to succeed and celebrating wins.