trivago

Data Engineer - Visual Content

trivago WorkFromHome

Stellenbeschreibung:

Overview

When 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\u2019t 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

As a data engineer, you\u2019ll work collaboratively with data engineers, data scientists, and analysts across various business initiatives, leveraging massive datasets pivotal to the company\u2019s operations. Your efforts will support multiple teams in reporting, bidding, and experimentation on data pipelines. This role requires effective communication with software engineers responsible for generating data and a deep passion for data engineering. We seek candidates with a robust engineering background, a technical mindset, and a keen interest in the business implications of their work. You\u2019ll thrive in our dynamic environment that encourages learning from feedback and embracing changes.

Sounds interesting? Read on and apply today!

Get an inside look at trivago\u2019s engineering culture:

How you\u2019ll make an impact:

  • Be a part of trivago\u2019s Content team and proactively contribute to a product that is used by millions of people each day
  • Create deeper understanding and insights for our data using technologies like GCP Cloud Functions, Apache Beam, Kafka and Kubernetes, while leveraging Computer Vision
  • Design and build data pipelines on GCP that can handle billions of events in batch and real-time processing
  • Take ownership and contribute with your own judgement on how to bring the best and most relevant data to our users so they can make smart decisions on their next hotel booking
  • Work closely with stakeholders and other teams to map business requirements into technical solutions that have a real and measurable impact
  • Be a technology ambassador , spread the word, and share knowledge among your fellow colleagues in peer exchanges, guild meetings, and meet-ups

Our Technology Stack:

  • Google Cloud tooling like Dataflow, Cloud Storage, Pub/Sub, BigQuery
  • Python
  • Apache Beam and Flink
  • FastAPI
  • Terraform
  • Docker and Kubernetes

What you\u2019ll need to thrive:

  • 7+ years of programming experience with any language, preferably Python.
  • Experience building data pipelines and production-level software at scale
  • Experience with GCP technologies like Dataflow, BigQuery, BigTable, Cloud Storage, and Pub/Sub.
  • A genuine interest in DevOps topics/concepts (test automation, CI/CD, infrastructure as code etc.)
  • Profound knowledge of relational and NoSQL databases .
  • Passion for working with terabytes of data and the challenges associated with dealing with large volumes of it.
  • A problem solver with sense for code quality, iterated deliveries, pragmatism and stability
  • The ability to present complex topics in plain English to non-technical peers and stakeholders.

Stand out with:

We are not expecting candidates to be experts in everything. More important to us is that you have a growth mindset and thirst for learning. We can teach you the skills needed to thrive but, if you have experience in any of the following areas, even better...

  • Experience in implementing robust APIs to serve backends, preferably in Python.
  • Hands-on experience in distributed systems and/or streaming data technologies
  • Extensive experience in writing and maintaining production-grade Python applications
  • Familiarity with Data Science concepts such as Machine Learning and building infrastructure for them.
  • Experience (or a keen interest) in working with image processing.

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 provide workshops, educational meetups, conferences, free online learning courses, and access to a fully-equipped campus library.

Moving to join us? No problem. You can count on visa support from our talent support team, a relocation package, interest-free newcomer loan, free language classes, regular team and many company-wide events to build experiences together.

Life happens. We offer self-determined vacation (with a minimum of 25 vacation days), flexible working hours, 2 WFH days weekly, the chance to work remotely for 20 days abroad, free access to the Heycare platform for personalized nanny assistance, and an on-campus kids room.

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, choose from a variety of fitness options with our on-site gym, sports classes, and Urban Sports Club membership, and enjoy the comfort of ergonomic desks and focused work areas.

Recruiting process for this role:

  • Introduction Call
  • Case Study
  • Technical Interview
  • Interview with Stakeholders and Lead

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. Should any questions arise before you apply, feel free to reach out to us at . Join us in our mission to make a positive impact on global travel, we look forward to your application!

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Stelleninformationen

  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt
  • Veröffentlichungsdatum:

    03 Nov 2025
  • Standort:

    WorkFromHome

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