ML Data Engineer — Build Scalable Bidding Pipelines

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 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.