data engineer for machine learning models
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Summary
Data engineer on Booking.com's PPC team, building and maintaining large-scale data pipelines and transformations that support machine-learning bidding models, reporting, and experimentation. Core tech includes Python/Java/Scala, SQL, cloud-based data platforms, and streaming/batch processing.
Booking.com operates a global travel platform that helps people experience the world through its products, partners, and people. The PPC team develops and optimizes large-scale machine learning models for online bidding across major search providers.
Задачи:
- Build, maintain, and improve data pipelines and transformations supporting bidding models, reporting, experimentation, and operational workflows
- Support efficient and scalable data ingestion solutions for timely and reliable data-driven decision-making
- Connect, model, and prepare datasets from different systems for trusted data products used in machine learning and business use cases
- Ensure data quality and standardisation 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 production learnings to improve system resilience
- Write readable, reusable, and maintainable code and continuously develop data engineering skills
Требования:
- 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 experience with 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 structuring reliable data 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 engineering skills
Условия:
- Hybrid working with flexible working arrangements
- Up to 20 days per year working from abroad in the home country
- Annual paid time off and paid leave schemes, including parent, grandparent, bereavement, and care leave
- Product discounts of up to 1400 per year, including automatic Genius Level 3 status and Booking.com wallet credit
- Adjustments and tools are provided to colleagues with disabilities during the application and interview process and employment
- This role does not come with relocation assistance