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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.
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:
Booking.com’s Total Rewards Philosophy is not only about compensation but also about benefits. We offer a competitive compensation and benefits package, as well unique-to-Booking.com benefits which include:
Diversity, Equity & Inclusion have been a core part of our company culture since day one. This ongoing journey starts with our very own employees, who represent over 140 nationalities and a wide range of ethnic and social backgrounds, genders and sexual orientations.
Take it from our Chief People Officer, Paulo Pisano: “At Booking.com, the diversity of our people doesn’t just build an outstanding workplace, it also creates a better and more inclusive travel experience for everyone. Inclusion is at the heart of everything we do. It’s a place where you can make your mark and have a real impact in travel and tech.”
We ensure that colleagues with disabilities are provided the adjustments and tools they need to participate in the job application and interview process, to perform crucial job functions, and to receive other benefits and privileges of employment.
Application Process:
Pre-Employment Screening
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.
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.
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
- 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 compensation and benefits package, 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
Diversity, Equity & Inclusion have been a core part of our company culture since day one. This ongoing journey starts with our very own employees, who represent over 140 nationalities and a wide range of ethnic and social backgrounds, genders and sexual orientations.
Take it from our Chief People Officer, Paulo Pisano: “At Booking.com, the diversity of our people doesn’t just build an outstanding workplace, it also creates a better and more inclusive travel experience for everyone. Inclusion is at the heart of everything we do. It’s a place where you can make your mark and have a real impact in travel and tech.”
We ensure that colleagues with disabilities are provided the adjustments and tools they need to participate in the job application and interview process, to perform crucial job functions, and to receive other benefits and privileges of employment.
Application Process:
- Let’s go places together: How we Hire
- 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.
Pre-Employment Screening
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.
Key Skills
Ranked by relevance
kafka
design patterns
cassandra
python
server
hadoop
scala
mysql
spark
java
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- Posted
- Aug 14, 2025
- Type
- Full-time
- Level
- Not Applicable
- Location
- Amsterdam
- Company
- Booking.com
Industries
Software Development
Categories
Information Technology
Related Jobs
3 roles aligned with this opportunity
View Job Details
Related
Machine Learning Engineer - Remote (all genders)
2026-05-28
Full-time
Associate
Germany
Software Development
Information Technology
View Job Details
Related
Software Engineer - Serverless Compute
2026-05-28
Full-time
Not Applicable
France
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Engineering
View Job Details
Related
Financial Data Analyst
2026-05-26
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