Working Student - Content Data Engineer
Trivago is hiring a Working Student - Content Data Engineer in Düsseldorf, Germany. Level rates it ; you can apply on Level.
AI in this role
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
Our Service Desk team within Content Data Quality & Governance is looking for a detail-oriented working student to join our dynamic environment as a Content Data Engineer. You'll be part of a team that ensures the quality and accuracy of our hotel content data, working with various stakeholders across trivago to maintain high data standards and resolve content-related issues.
If this sounds like an environment you can see yourself enjoying, read on and apply today!
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
- Experience in agentic automation (e.g., building AI agents or automated workflows)
- Some preliminary understanding of working with AI tools such as Cursor and Claude
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 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, at least 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.
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
How we rate this
Working Student - Content Data Engineer at Trivago rates 7 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Pay
- Typical data engineer job
- $145k
This posting doesn't list pay. Use the typical data engineer figure when pay comes up. See data engineer jobs
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Walk me through how you've used Claude in your day-to-day work.
- What are the limits of Cursor that you've run into, and how did you work around them?
Adapt your resume
- List these exact terms on your resume: AI agents, Claude, and Cursor. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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