ABOUT US:

At Booking.com, we are powered by data-driven decisions that shape our innovative solutions. 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.

QUALIFICATIONS & SKILLS:

• 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

PREFERRED QUALIFICATIONS

• 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

ROLE DESCRIPTION:

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.
You’ll be part of a multi-functional team with engineers, product managers, data scientists, and analysts, working with modern data tools and real-world scale. This role is ideal for early-career data engineers looking to grow their skills in a production environment while making direct business impact.

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