data engineer for machine learning models

Enfint; Amsterdam; Hybrid; EUR 60,000 - 90,000; Full time

Benefits offered by this job

Product discounts

Hybrid working

Job summary

Booking.com is seeking a data engineer to build and optimize data pipelines that support large-scale bidding models and ML workflows. You will ingest, transform, and harmonize data across systems to enable reliable analytics and decision-making.

The role emphasizes data quality, governance, and scalable engineering practices, with hybrid working arrangements. Strong SQL, Python/Java/Scala, and cloud experience are expected, along with a learning mindset and English communication skills.

Qualifications

• Bachelor’s or Master’s degree in Computer Science or a related field.
• 1–3 years of relevant experience in data engineering or analytics engineering.
• Hands-on experience with a server-side language (Python, Java, Scala).
• Foundational knowledge of SQL and distributed data processing concepts.
• Understanding of data modeling, data quality, and analytics-ready datasets.
• Familiarity with cloud-based data platforms and orchestration/streaming or batch processing tech.

Responsibilities

• Build, maintain, and improve data pipelines and transformations for bidding models and reporting.
• Support scalable data ingestion for timely data-driven decisions.
• Prepare datasets from different systems for trusted data products used in ML and business use cases.
• Ensure data quality and governance following design patterns and best practices.
• Monitor system health and SLOs, identify bottlenecks and risks.
• Participate in incident handling and post-mortems to improve resilience.
• Write clean, reusable code and continuously develop data engineering skills.

Skills

Python/Java/Scala

SQL

Data modeling

Cloud platforms

Data governance

Education

Bachelors or Masters in Computer Science

Job description

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