Data Engineer II – Amsterdam, Netherlands (Hybrid). Booking.com is seeking a Data Engineer to join the Growth Marketing team's Messaging & Rewards area. You will help build the data foundation powering cross-channel customer communications and incentives across email, push notifications, in-app messaging, and emerging channels. Your focus will be on developing reliable, scalable, and well-governed data pipelines and datasets enabling audience creation, campaign performance measurement, funnel observability, customer engagement analysis, personalization, and rewards effectiveness. Responsibilities include designing and scaling data pipelines with emphasis on data quality; owning end-to-end data quality in core datasets; diagnosing and resolving data issues; evaluating and adopting new tools and technologies; delivering self-service data tooling to improve data quality and discoverability; acting as the primary technical contact for data engineering issues with stakeholders; and collaborating with analytics, product, and ML teams. Qualifications: 3–5 years of experience as a Data Engineer or similar data-focused role; Master’s degree in a quantitative field; strong Python skills; experience with Java or Scala is a plus; track record of building production-grade data pipelines in cloud/hybrid environments with focus on scalability and reliability; solid understanding of APIs, distributed systems, storage, caching, data modeling, and system reliability; hands-on experience with Spark, Kafka, Airflow, Snowflake, DBT, CDC patterns, and cloud storage; experience with data warehous

Data Engineer II – Amsterdam, Netherlands (Hybrid). Booking.com is seeking a Data Engineer to join the Growth Marketing team's Messaging & Rewards area. You will help build the data foundation powering cross-channel customer communications and incentives across email, push notifications, in-app messaging, and emerging channels. Your focus will be on developing reliable, scalable, and well-governed data pipelines and datasets enabling audience creation, campaign performance measurement, funnel observability, customer engagement analysis, personalization, and rewards effectiveness. Responsibilities include designing and scaling data pipelines with emphasis on data quality; owning end-to-end data quality in core datasets; diagnosing and resolving data issues; evaluating and adopting new tools and technologies; delivering self-service data tooling to improve data quality and discoverability; acting as the primary technical contact for data engineering issues with stakeholders; and collaborating with analytics, product, and ML teams. Qualifications: 3–5 years of experience as a Data Engineer or similar data-focused role; Master’s degree in a quantitative field; strong Python skills; experience with Java or Scala is a plus; track record of building production-grade data pipelines in cloud/hybrid environments with focus on scalability and reliability; solid understanding of APIs, distributed systems, storage, caching, data modeling, and system reliability; hands-on experience with Spark, Kafka, Airflow, Snowflake, DBT, CDC patterns, and cloud storage; experience with data warehous