19 Apr 2026

Data Engineer I

Booking.com

Amsterdam

19 Apr 2026

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Data Engineer I

Data Engineer I position at Booking.com's Payments Accounting Analytics team in Amsterdam. Responsibilities include building scalable data pipelines, ensuring data quality, and working with technologies like Python, Snowflake, AWS, and Spark. Requires 2+ years of experience and a background in Computer Science.

HybridFull-timeEntry LevelPythonJava

Data Engineer I

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HybridFull-timeEntry LevelPython

Salary

Not specified

Work Location

Amsterdam, North Holland, Netherlands, NL

Work Model

Hybrid working including flexible working arrangements, and up to 20 days per year working from abroad (home country)

Experience Required

2 years

Employment Type

Full-time

Experience Level

Proven experience of 2+ years in the field

Core Qualifications

Technical (Must-have)

PythonJavaSQLHQLCQLAWSAzureGoogle cloudSnowflakeSpark

Soft Skills

communicationproblem solvinginitiativeteamworkleadership

Tools (Must-have)

SnowflakeAWSSparkKafkaMySQLdbtAirflowDagsterDockerKubernetes

Preferred Qualifications

Technical (Nice-to-have)

KafkaMySQLdbtAirflowDagsterDockerKubernetesCI/CDdata modelingdata storage

Tools (Nice-to-have)

StreamlitTableauPower BIdata monitoring/observability toolsBI and data visualization tools

Key Responsibilities

•Rapidly developing next-generation scalable, flexible, and high-performance data pipelines for the analysts to develop reports and dashboards
•Managing orchestration jobs at scale, debugging and resolving issues and continuously maintaining to support reporting needs
•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
•Setting up data governance and control on data models and ETL workflows owned by the analytics team
•Importing new data tables to the SOx compliant platform with completeness and accuracy checks and setting up monitoring
•Providing tools that improve Data Quality company-wide
•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

Data EngineerSoftware DevelopmentInformation TechnologyPythonAWSSnowflakeSparkETLData QualityHybrid

Key Responsibilities

•Rapidly developing next-generation scalable, flexible, and high-performance data pipelines for the analysts to develop reports and dashboards

•Managing orchestration jobs at scale, debugging and resolving issues and continuously maintaining to support reporting needs

•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

•Setting up data governance and control on data models and ETL workflows owned by the analytics team

•Importing new data tables to the SOx compliant platform with completeness and accuracy checks and setting up monitoring

•Providing tools that improve Data Quality company-wide

•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