Engineering Lead - Content
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.deWhen 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
Join our team as the Engineering Lead for our Content area, where your strategic vision and technical expertise will directly impact how millions of travelers discover and interact with accommodations on our platform. In this pivotal role, you'll lead engineering teams responsible for processing and optimizing the critical data that powers the trivago experience. You'll navigate complex technical challenges while ensuring our content systems maintain the highest standards of quality, performance, and scalability.
In this role, you'll collaborate with other tech leads across the organization to shape our overall technology strategy, advocate for innovative solutions, and ensure alignment with business objectives. Your guidance will empower teams to deliver exceptional technology that transforms raw data into meaningful travel experiences for our users.
If you're passionate about leading technical teams, solving complex data processing challenges, and driving innovation in the travel industry, we invite you to apply and help shape the future of travel content technology!
Get an inside look at trivago's engineering culture:
How you’ll make an impact:
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Lead and mentor engineering teams in the Content area, providing technical guidance, removing obstacles, and fostering a culture of innovation and excellence
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Collaborate closely with product managers and stakeholders to translate business requirements into effective technical solutions
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Drive the technological strategy for content processing systems, ensuring they meet the evolving needs of our platform and users
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Participate in hiring and developing top engineering talent to build high-performing teams
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Engage in cross-functional technical discussions about new product features, providing expert insights and recommendations
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Coordinate with the broader tech leadership group to align Content area initiatives with company-wide technological strategies
What you'll need to thrive:
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Proven experience in technical leadership roles, with a strong focus on guiding and empowering engineering teams
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Experience with cloud technologies
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Understanding of containerization and orchestration systems, specifically Kubernetes
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Familiarity with at least one of Python, Java, or Kotlin
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Experience with relational databases and SQL
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Strong communication skills to effectively translate complex technical concepts across diverse audiences
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Strategic thinking abilities with a talent for balancing innovation against practical implementation
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Experience in facilitating technical discussions and guiding teams to optimal solutions
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An academic background in computer science, engineering, mathematics or related areas
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Fluency in English (our company language)
Stand out with:
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Knowledge of modern software engineering practices and methodologies
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Track record of successfully implementing large-scale data processing systems
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Experience delivering AI models to production environments
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Experience in optimizing data pipelines for performance and reliability
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Experience with Apache Kafka and Google Cloud services (BigQuery in particular)
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Experience in the travel or hospitality industry
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 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 personalised 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.
Interview process for this role:
Step 1 - Introduction call with team lead
Step 2 - Technical interview
Step 3 - Leadership interview
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: BigQuery Computer Science Data pipelines Engineering GCP Google Cloud Java Kafka Kubernetes Machine Learning Mathematics Pipelines Python RDBMS SQL
Perks/benefits: Career development Conferences Equity / stock options Fitness / gym Flex hours Flex vacation Relocation support Startup environment Team events Travel
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