What you will do
As a Data Engineer at Wundermart, you’ll be part of the Business Intelligence & Data Science team, responsible for designing and maintaining the data infrastructure that fuels analytics and operations across Europe.
You will build scalable data pipelines in Google Cloud Platform, integrating both internal and external data sources through tools like Airbyte and Airflow.
You’ll work closely with our Data Scientist to make sure data is reliable, accessible, and ready for insights — and you’ll have the freedom to propose and implement new ideas that make our ecosystem smarter and more efficient.
Key responsibilities
Design, build, and maintain ETL/ELT pipelines within the Google Cloud environment.
Integrate external and internal data sources using Airbyte, Airflow, or similar tools.
Ensure data quality, integrity, and availability across the organization.
Collaborate with the BI & Data Science team to deliver clean, structured datasets.
Monitor data processes and continuously look for automation and improvement opportunities.
Contribute to the evolution of Wundermart’s data infrastructure and best practices.
What we have to offer:
Opportunity for growth and professional development in a fast-growing, international retail tech company.
Freedom to build, optimise, and make a real impact.
A startup feel with the stability of a scale-up that’s here to stay.
Flexible work setup and unlimited vacation days.
Travel reimbursement and a personal learning budget.
Lunch at our Amsterdam HQ.
Regular team events and get-togethers.
A culture built on ownership, curiosity, and growth.
Competitive salary.
What you can bring
Background in computer science, data engineering, or IT.
2–5 years of experience as a Data Engineer.
Strong experience with SQL and Python.Experience with Google Cloud Platform (BigQuery, Cloud Storage, Cloud Run, etc.).
Familiarity with Airflow, Airbyte, and data orchestration principles.
Understanding of CI/CD, data modeling, and pipeline automation.
You enjoy taking initiative, testing new ideas, and building things from scratch.
Fluent in Dutch and English.
Available to work at least 3 days per week at our HQ in Amsterdam.
Please mention you found this job on AI Jobs. It helps us get more startups to hire on our site. Thanks and good luck!
Understand the required skills and qualifications, anticipate the questions you may be asked, and study well-prepared answers using our sample responses.
Data Engineer Q&A's