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About the Role

As a Data Engineer I in PPC Bidding ML, you will help build and maintain the data foundations that power bidding models, reporting, monitoring, and operational decision-making across our PPC ecosystem. You will work on scalable ingestion and transformation pipelines, improve the reliability of data processing services, and help enable faster, better data-driven decisions. You bring solid engineering fundamentals together with an analytics mindset. Beyond moving data, you will help shape data so it is trusted, well-modeled, and meaningful for downstream users.

Responsibilities

• Build, maintain, and improve data pipelines and transformations that support bidding models, reporting, experimentation, and operational workflows.
• Support efficient and scalable data ingestion solutions that enable timely and reliable data-driven decision-making.
• Connect, model, and prepare datasets from different systems to create trusted and usable data products for machine learning and business use cases.
• Help ensure data quality and standardization by following agreed design patterns, engineering best practices, and data governance principles.
• Monitor system health, relevant SLIs and SLOs, and proactively identify bottlenecks, risks, and failure points.
• Participate in incident handling, mitigation, and follow-up, using learnings from production issues to improve system resilience.
• Write readable, reusable, and maintainable code and continuously develop your craft in data engineering and related technologies.

Requirements

• Bachelor's or Master's degree in Computer Science or a related field.
• 1–3 years of relevant experience in data engineering, analytics engineering, or a related field.
• Hands-on exposure to a server-side programming language such as Python, Java, Scala, or similar.
• Entry-level experience building data pipelines and transformations at scale.
• Foundational knowledge of SQL and distributed data processing concepts.
• Understanding of data modeling, data quality concepts, and how to structure data so it is reliable and useful for analytics and decision-making.
• Familiarity with modern cloud-based data platforms, orchestration tools, and streaming or batch processing technologies.
• Strong written and spoken English communication skills.
• A learning mindset and interest in continuously improving your engineering craft.

Work Type

• Hybrid working
• Flexible working arrangements

Experience Level

• 1-3 years

Education Level

• Bachelor's or Master's degree in Computer Science or a related field

Benefits

• Annual paid time off
• Generous paid leave scheme including: parent, grandparent, bereavement, and care leave
• Hybrid working including flexible working arrangements
• 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

About the Company

• At Booking.com, data drives our decisions. Technology is at our core. And innovation is everywhere.
• We make it easier for everyone to experience the world through our products, partners, and people.
• Inclusion has been a core part of our company culture since day one.
• Our employees represent over 140 nationalities and a wide range of ethnic and social backgrounds, genders, and sexual orientations.
• 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.

Equal Opportunity

• 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.
• Booking.com is proud to be an equal opportunity workplace and is an affirmative action employer.
• All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
• We strive to move well beyond traditional equal opportunity and work to create an environment that allows everyone to thrive.