Junior Data Engineer: Build Scalable Data Pipelines

Just Eat Takeaway.com; Amsterdam; Hybrid; EUR 42,000 - 65,000; Full time

Job summary

Just Eat Takeaway.com is seeking a Junior Data Engineer in Amsterdam to help build and scale data pipelines powering local and global analytics. You will collaborate with data analysts and analytics engineers to deliver reliable data solutions.

The role focuses on dbt, SQL, Python, and modern cloud technologies, with a hybrid work model (3 days in the Amsterdam office, 2 days remote). A proactive mindset and willingness to learn are essential.

Qualifications

• Strong SQL skills with ability to write and optimize complex queries.
• Proficient in Python and data manipulation workflows.
• Experience with dbt and modern data stack tooling.
• Familiarity with Airflow or Dagster for orchestration.
• Experience with cloud data warehouses (e.g., BigQuery) and data modeling.
• Ability to build reliable, scalable data pipelines and ensure data quality.
• Experience with BI tools (e.g., Tableau) and data visualization.

Responsibilities

• Build, maintain, and optimize scalable data pipelines using modern stack.
• Collaborate with data analysts and business leads to translate requirements into data solutions.
• Implement data quality checks and monitor pipeline health across multiple markets.
• Document data models and workflows to support long-term scalability.
• Explore new technologies to improve reporting workflows and efficiency.
• Participate in Agile ceremonies and contribute to cross-functional teams.
• Work with cloud data warehouses and ensure governance and security.

Skills

SQL

Python

dbt

Airflow

Dagster

BigQuery

Tableau

Git

Cloud platforms

Tools

Airflow

Dagster

dbt

Tableau

BigQuery

Git

Job description

Just Eat Takeaway.com is seeking a Junior Data Engineer in Amsterdam to help build and scale data pipelines powering local and global analytics. You will collaborate with data analysts and analytics engineers to deliver reliable data solutions.

The role focuses on dbt, SQL, Python, and modern cloud technologies, with a hybrid work model (3 days in the Amsterdam office, 2 days remote). A proactive mindset and willingness to learn are essential.