Working Student - Content Data Quality
Düsseldorf
trivago
Compare hotel prices from hundreds of travel sites and get great deals. Save time and money on finding your ideal accommodation with millions of reviews and photos on trivago.comWhen travelers are searching for a hotel, we want the obvious choice to be trivago! Our leading metasearch engine is super fast and constantly optimized - enabling millions of travelers to compare hotel prices from hundreds of booking sites and find great deals in just a few clicks. We use cutting-edge technology, real-time auction, and machine learning techniques with petabytes of data to create an experience - time and money saved! In the lively city of Düsseldorf, we seize opportunities to learn everyday, innovate, and make an enduring mark on the travel industry. At trivago 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
Ready to dive into the world of big data while studying? Our Content Data Quality team is at the heart of ensuring millions of travelers receive accurate, high-quality hotel information. We're looking for a curious and analytical mind to join us as a working student in a role where you'll learn hands-on data quality practices while making a real impact on our product. Working alongside experienced data practitioners, you'll get to apply your SQL and data analysis skills, learn industry-standard tools, and contribute to improving our data quality processes. If you're excited about turning data challenges into solutions and want to experience how a tech company maintains data integrity at scale, this is your opportunity to grow. We'd love to hear from you!
How you’ll make an impact:
- Analyze & Monitor Data – Use SQL to query, analyze, and validate content data for inconsistencies
- Triage Data Anomalies – Identify, investigate, and escalate content quality issues, collaborating with engineers for resolution
- Support Data Engineering – Assist in improving data quality practices, ensuring clean, structured, and optimized data pipelines
- Optimize Manual Processes – Help automate and refine existing workflows to enhance operational efficiency
- Collaborate with Teams – Work closely with content teams, data engineers, and stakeholders to improve data governance
What you'll learn:
- How a data-driven company operates and makes decisions
- Best practices in SQL, data analysis, and quality assurance
- How to support data engineers in optimizing content data pipelines
- Collaboration within a fast-paced, international tech team
What you'll need to thrive:
- SQL-Savvy – Comfortable writing SQL queries for data analysis and quality checks
- Analytical Thinker – Able to spot data inconsistencies and propose solutions
- Team Player – Excited to work with engineers, analysts, and stakeholders
- Process-Oriented – Passionate about optimizing workflows and reducing manual effort
- Availability – Can commit 20 hours per week for at least one year
- Currently enrolled at a university in Germany, living within a commutable distance to Düsseldorf
Stand out with:
- Knowledge of Python for data analysis or automation
- Experience with data visualization tools (Looker, Tableau, Power BI, or similar)
- Familiarity with ETL pipelines or data processing frameworks
Worried about missing a few requirements? Still apply, and express your motivation as you may just be the right candidate for this or other roles!
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 Likeminded, 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 company-wide events so you can build experiences with us.
Life happens.
We offer paid vacation days during your employment, flexible working hours, 1 WFH day weekly, and the chance to work remotely for selected days abroad.
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.
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, we look forward to your application!
#LI-Hybrid
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Big Data Data analysis Data governance Data pipelines Data quality Data visualization Engineering ETL Looker Machine Learning Pipelines Power BI Python SQL Tableau
Perks/benefits: Career development Conferences Fitness / gym Flex hours Flex vacation Startup environment Team events Travel
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