Working Student - Core Data QA Engineer

Department: Core Data Engineering (Haydar Ali Ismail)

When travelers are searching for a hotel, we want the obvious choice to be trivago! By comparing prices from major booking sites, we're making it easy for people to find hotels they want at a price they'll love. In the lively city of Düsseldorf, we seize opportunities to learn everyday, innovate, and make an enduring mark on the travel industry. A career at trivago is a journey designed for people who crave continuous development and want to thrive in a high-performing team. Here you will find those who aren't afraid of change but rather embrace it, turning every challenge into a pathway for growth. Join trivago, work with a great team, and grow with us!

Join us in making a difference

The Core Data Engineering team is the guardian of trivago's most critical data — Session, Search, Bids, Clickouts, Conversion, Revenue, and Invoicing. Our mission is to ensure the quality and reliability of that core data, making it a single source of truth that enables business and technical agility, compliance, and growth.
As a Working Student QA Engineer, you'll be at the heart of that mission. You'll work alongside experienced Data Engineers and Data Scientists to validate data pipelines, build automated checks, and help the team catch quality issues before they become business problems. At trivago, high standards and genuine support go hand in hand — you'll be challenged to grow, and you'll have the team behind you every step of the way. If you're analytical, curious, and ready to get hands-on with real production data from day one, we'd love to hear from you.

How you’ll make an impact:

• Develop and implement solutions to automate data extraction, increasing the coverage and efficiency of our quality tooling.
• Evaluate and synthesise information from a variety of sources provided by different advertisers.
• Support the team in retrieving information — both manually and by creating scripts to automate repetitive processes.
• Monitor systems and validate the accuracy and reliability of retrieved data.
• Enable and maintain business and technical data quality checks on data assets built by the Data Engineering team.
• Perform manual and automated tests on data assets to ensure the highest possible data quality.

What you'll need to thrive:

• A data-driven mindset — you're comfortable working with data to draw conclusions and make informed decisions.
• Basic knowledge of at least one programming language and a foundational understanding of SQL and databases.
• Currently enrolled at a German university (Immatrikulationsbescheinigung required).
• A genuine learning mindset — you approach challenges with curiosity, actively seek feedback, and are always looking for ways to grow.
• A performance mindset — you set ambitious goals for yourself and have the determination to follow through and deliver.
• An open and curious attitude toward AI tools and automation — you're excited to explore how AI can enhance the way you work and grow alongside evolving technologies.

Stand out with:

• Experience with BI or data visualisation tools such as Looker.
• Willingness to learn scripting and automation — even if you're just getting started.

What you will learn:

• Gain insight into how a data-driven company functions internally and how decisions are shaped by data.
• Get hands-on experience with cutting-edge data extraction and validation systems in a live production environment.
• Collaborate closely with experienced Data Engineers, Data Analysts, and Data Scientists.
• Build practical data analysis and automation skills by working on real projects with direct business impact, while developing best practices for maintaining the highest data quality in mission-critical datasets.
• Grow your experience working within a dynamic, international team.

Not ticking every box? We still want to hear from you. Apply, tell us what motivates you, and you could be a great match—now or in the future. Your application does not need to include a photo.

This is the recruitment process that you can expect for this role (subject to modifications):

• Hireflix: One-way video interview
• Technical interview with the team
• Interview with the team

Want to know more about life at trivago? Check out what our colleagues say on kununu and Glassdoor.

What you can look forward to:

As you grow, so do we.
This is why at trivago, we prioritize your development, offer personalized coaching through Nilo, and free German language classes. You’ll have access to workshops, educational meetups, conferences, free online learning courses, and a fully-equipped campus library. We also organize regular team and many company-wide events so you can build experiences with us.
Life happens.
We offer paid vacation days during your employment, flexible working hours, 1 work from home day weekly. Additionally you can work remotely from a different location, within Germany or selected countries abroad for up to 20 days per year.
Enjoy your office days.
Use your daily canteen budget to share lunch with colleagues in our canteen, help yourself to complimentary snacks and drinks in our kitchens, stay healthy with our on-site gym and sports classes, and enjoy the comfort of ergonomic desks and focused work areas.