Booking.com

Data Engineer II - Content Intelligence

Booking.com
NL Amsterdam Centrum, NH, NL
Onsite 2026-06-12
Estimated salary · Amsterdam
€47k–€75k
Low
€47K
Median
€60K
High
€75K
Market in Amsterdam · Eurostat SES 2025

Job description

Role Description: **About Us:** At Booking.com, data drives our decisions. Technology is at our core. And innovation is everywhere. But our company is more than datasets, lines of code or A/B tests. We’re the thrill of the first night in a new place. The excitement of the next morning. The friends you encounter. The journeys you take. The sights you see. And the memories you make. Through our products, partners and people, we make it easier for everyone to experience the world. **Team overview:** This opening is for the Content Intelligence team within the Marketplace Business Unit at Booking.com. The Content Intelligence team is at the forefront of **Generative AI innovation**, driving solutions for travel\-related chatbots, text generation and summarization applications, Q\&A systems, and free\-text search. Beyond this, the team is building a cutting\-edge platform that processes millions of images and textual inputs daily, enriching them with ML capabilities. These enriched datasets power downstream applications, helping personalize the customer experience—for example, selecting and displaying the most relevant images and reviews as customers plan and book their next vacation. **Role Description:** As a Data Engineer, you’ll collaborate with top\-notch engineers and data scientists to elevate our platform to the next level and deliver exceptional user experiences. Your primary focus will be on the data engineering aspects—ensuring the seamless flow of high\-quality, relevant data to train and optimize content models, including GenAI foundation models, supervised fine\-tuning, and more. You’ll work closely with teams across the company to ensure the availability of high\-quality data from ML platforms, powering decisions across all departments. With access to petabytes of data through MySQL, Snowflake, Cassandra, S3, and other platforms, your challenge will be to ensure that this data is applied even more effectively to support business decisions, train

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