Data Engineer - Content & Accommodation

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.com

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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’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

As a Data Engineer, you'll work collaboratively with data engineers, data scientists, and analysts across various business initiatives, leveraging massive datasets pivotal to the company's operations. Your efforts will support multiple teams in reporting, bidding, and experimentation of 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'll 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 our tech: 

How you’ll make an impact: 

  • Be a part of trivago’s 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 NLP and 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 Kafka, Apache Airflow
  • Terraform
  • Docker, Kubernetes

What you'll need to thrive:    

  • 5+ years of programming experience with any language, preferably Python
  • Experience building data pipelines and production-level software at scale
  • Experience with Cloud platforms
  • Experience with DevOps concepts e.g. test automation, CI/CD, infrastructure as code etc. to take end-to-end ownership of pipelines deployed on the cloud
  • Proficiency in working with terabytes of structured and unstructured data like text, images, etc
  • 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…
  • Hands-on experience with GCP technologies like Dataflow, Cloud Functions, Cloud Storage and Pub/Sub
  • Hands-on experience in distributed systems and/or streaming data technologies
  • Extensive experience in writing and maintaining production-grade Python applications
  • Profound knowledge of relational data modeling
  • Experience (or a keen interest) in working with image processing or Natural Language 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!

Recruiting process for this role:

  • Introduction Call
  • Case Study Assessment
  • Technical Interview
  • Final Interview with Stakeholders

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 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 the visa support from our talent support team, a relocation package, interest-free newcomer loan, free language classes, regular team and 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 Heynanny 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, 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

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Engineering Jobs

Tags: Airflow BigQuery CI/CD Computer Vision Dataflow Data pipelines DevOps Distributed Systems Docker Engineering GCP Google Cloud Kafka Kubernetes Machine Learning NLP Pipelines Python Streaming Terraform Unstructured data

Perks/benefits: Career development Conferences Fitness / gym Flex hours Flex vacation Relocation support Team events Travel

Region: Europe
Country: Germany

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