Working Student - Core Data QA Engineer
Trivago•3h ago
DüsseldorfHybridFull-timeIntern Level0-1 yrs exp
Top focus
Qa EngineerData EngineerVp DataSenior Data EngineerData Warehouse Engineer
- 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
- 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
- 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
- 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
- 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
- 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
- you'll have the team behind you every step of the way. If you're analytical, curious
- 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
- free German language classes. You’ll have access to workshops, educational meetups, conferences, free online learning courses
- 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
- enjoy the comfort of ergonomic desks and focused work areas.
- Thank you for considering a career at trivago! Our commitment to fostering an inclusive and enriching environment for all talents is at the heart of what we do. We understand that embarking on a new job opportunity is a blend of excitement and curiosity. Should any questions arise before you apply, feel free to reach out to us at joinus@trivago.com . Join us in our mission to make a positive impact on global travel, w e look forward to your application!
- #LI-Hybrid
Required skills
SQLdata extractionautomationdata validationdata analysis