2 weeks ago

Data Engineer II - Content Intelligence

Booking.com

Amsterdam

2 weeks ago

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Booking.com seeks a Data Engineer II to join the Content Intelligence team in Amsterdam, focusing on GenAI innovation and scalable data pipelines for travel-related applications. The role requires 3+ years of data engineering experience, strong Python/Java skills, and expertise in big data frameworks like PySpark or Flink. This is a hybrid, full-time position with competitive benefits.

HybridFull-timeMid LevelPythonJava

Data Engineer II - Content Intelligence

Apply

HybridFull-timeMid LevelPython

Salary

Not specified

Work Location

Amsterdam, North Holland, Netherlands, NL

Work Model

Hybrid

Experience Required

3 years

Employment Type

Full-time

Experience Level

Data Engineer II

Core Qualifications

Technical (Must-have)

PythonJavaPySparkApache FlinkSnowflakeMySQLCassandraDynamoDBETLELTData WarehousingData ModelingSchema DesignCloudNoSQL

Soft Skills

CommunicationMentoringTeam Collaboration

Preferred Qualifications

Technical (Nice-to-have)

GPTBERTNumPypandasmatplotlibA/B TestingExperimental Design

Key Responsibilities

•Rapidly developing next-generation scalable, flexible, and high-performance data pipelines.
•Dealing with massive textual sources to train GenAI foundation models.
•Solving issues with data and data pipelines, prioritizing based on customer impact.
•End-to-end ownership of data quality in our core datasets and data pipelines.
•Experimenting with new tools and technologies to meet business requirements regarding performance, scaling, and data quality.
•Providing tools that improve Data Quality company-wide, specifically for ML scientists.
•Providing self-organizing tools that help the analytics community discover data, assess quality, explore usage, and find peers with relevant expertise.
•Acting as an intermediary for problems, with both technical and non-technical audiences.
•Promote and drive impactful and innovative engineering solutions.
•Collaborate with multidisciplinary teams including product managers, data scientists, and analysts.

Data EngineeringGenAIBig DataPythonJavaPySparkSnowflakeMySQLCassandraHybrid

Key Responsibilities

•Rapidly developing next-generation scalable, flexible, and high-performance data pipelines.

•Dealing with massive textual sources to train GenAI foundation models.

•Solving issues with data and data pipelines, prioritizing based on customer impact.

•End-to-end ownership of data quality in our core datasets and data pipelines.

•Experimenting with new tools and technologies to meet business requirements regarding performance, scaling, and data quality.

•Providing tools that improve Data Quality company-wide, specifically for ML scientists.

•Providing self-organizing tools that help the analytics community discover data, assess quality, explore usage, and find peers with relevant expertise.

•Acting as an intermediary for problems, with both technical and non-technical audiences.

•Promote and drive impactful and innovative engineering solutions.

•Collaborate with multidisciplinary teams including product managers, data scientists, and analysts.