As a Data Engineer I in Booking.com’s Growth Marketing department, you’ll help develop the data infrastructure that powers our global marketing programs, from messaging and app campaigns to digital performance advertising and optimization. This is a hands-on engineering role focused on building, maintaining, and evolving reliable and privacy-compliant data pipelines that drive measurement, personalization, and automation.
Key Job Responsibilities and Duties:Develop and maintain real-time and batch data pipelines that power internal decision-making and automated marketing actions
Follow standard design patterns and governance requirements to build scalable and privacy-safe data flows
Translate moderately complex business requirements into reliable data solutions with support from senior team members
Write clean, maintainable, and reusable code using standard libraries and practices
Connect and enrich datasets across systems to improve observability, targeting, and performance measurement
Support the ingestion and transformation of event-level and customer-level data into analytical and operational stores (e.g., Snowflake, Kafka, Hive)
Monitor system performance and data quality; help identify bottlenecks or failures that could impact campaign accuracy
Participate in team incident reviews and learn from issues to improve overall system resilience
Know the latest about data engineering best practices and continuously evolve your craft
A Bachelor’s degree in Computer Science, Engineering, or a related field, or demonstrated hands-on experience that showcases your technical skills and passion for data engineering.
A solid foundation with 1–3 years of experience in data engineering or backend engineering, showcasing your ability to drive results in a technology-driven environment.
Basic experience with one or more server-side programming languages (e.g., Python, Java, Scala, Perl)
Exposure to modern data infrastructure such as Hadoop, Kafka, Spark, Airflow, Cassandra, MySQL, or Snowflake
Understanding of basic data modeling concepts and best practices
Understanding of data quality practices alongside SLAs/SLOs, enabling you to enhance our commitment to excellence.
Strong communication skills in English and ability to work in a multi-functional setup
Exposure to marketing or customer behavior datasets is a plus
Familiarity with privacy-aware tracking and user identifier management
Basic knowledge of data governance frameworks and schema evolution
Experience contributing to code reviews, documentation, or observability dashboards
Booking.com’s Total Rewards Philosophy is not only about compensation but also about benefits. We offer a competitive , as well unique-to-Booking.com benefits which include:
Annual paid time off and generous paid leave scheme including: parent, grandparent, bereavement, and care leave
Hybrid working including flexible working arrangements, and up to 20 days per year working from abroad (home country)
Industry leading product discounts - up to 1400 per year - for yourself, including automatic Genius Level 3 status and Booking.com wallet credit
Application Process:
Let’s go places together:
Your recruiter will be in touch to discuss the hiring process with you and interview stages to expect
This role does not come with relocation assistance.
If your application is successful, your personal data may be used for a pre-employment screening check by a third party as permitted by applicable law. Depending on the vacancy and applicable law, a pre-employment screening may include employment history, education and other information (such as media information) that may be necessary for determining your qualifications and suitability for the position.
