Data Engineer - Central Machine Learning

Booking.com

Booking.com is a technology-driven company that thrives on data to innovate and enhance user experiences globally. The role of a Data Engineer in the Central Machine Learning team is crucial to develop and maintain ML infrastructure and features that aid in model training and serving, supporting Booking.com's mission to make travel easy for everyone.

In this role you can expect to have the responsibilities:

• Develop and maintain scalable data pipelines ensuring data quality and integrity.
• Provide tools for company-wide data quality improvement.
• Facilitate data discovery and usage for the analytics community.
• Experiment with emerging technologies to enhance performance and scalability.
• Resolve data pipeline issues with a focus on customer impact.
• Collaborate with both technical and non-technical stakeholders.
• Contribute to Booking.com's globally recognized product impacting travelers worldwide.

This role comes with the following benefits:

• Comprehensive annual paid time off and leave schemes.
• Flexible working arrangements with hybrid options.
• Generous product discounts and credits on Booking.com services.
• Situated in Amsterdam, with a vibrant cosmopolitan culture.
• Opportunities for technical and leadership development through various initiatives.
• Competitive compensation and unique perks.

This role requires you to have:

• Over 3 years of experience as a Software Developer/Data Engineer.
• Proficiency in Python and a quantitative degree.
• Experience with schema design, data modeling, and ML solutions.
• Ability to design systems end-to-end and knowledge of basic concepts like NoSQL, caching, etc.
• Building production data pipelines in the cloud and working with server-less solutions.

You would benefit from having:

• Knowledge of JVM languages.
• Experience with Snowflake, Hadoop, Hive, MySQL, Airflow, Spark, Kafka.
• Experience with Data Warehousing, ETL/ELT pipelines, and ML monitoring tools.

Booking.com upholds diversity, equity, and inclusion, welcoming over 140 nationalities and supporting colleagues with disabilities to ensure a vibrant workplace environment. The company champions equality and strives to create an inclusive space for all.