18 Mar 2026

Senior Data Platform Engineer

Adyen

Amsterdam

18 Mar 2026

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Senior Data Platform Engineer needed at Adyen's Amsterdam office to manage one of the world's largest data platforms. Responsibilities include designing, developing, operating, and maintaining scalable, reliable big data platforms using technologies like Kubernetes, Hadoop, and distributed systems. Requires strong system administration background and experience with infrastructure automation tools.

On-siteFull-timeSeniorInfrastructure AutomationConfiguration Management

Senior Data Platform Engineer

Apply

On-siteFull-timeSeniorInfrastructure Automation

Salary

Not specified

Work Location

Amsterdam, North Holland, Netherlands, NL

Work Model

On-site at Amsterdam office, no remote-only roles

Employment Type

Full-time

Experience Level

Senior

Core Qualifications

Technical (Must-have)

infrastructure automationconfiguration managementdistributed systemsprivate cloud systemson-premisedistributed datacompute systemsKubernetesDockerHadoop

Soft Skills

team playerstrong communication skills

Tools (Must-have)

AnsibleTerraformPuppetHadoopDruidTrinoHiveYARNHDFSKerberos

Preferred Qualifications

Technical (Nice-to-have)

PythonJavaGolangRustobservabilitymonitoringon-call rotationsincident management

Tools (Nice-to-have)

PrometheusGrafanaOpenTelemetry

Key Responsibilities

•Design, develop, operate, and maintain scalable, reliable, fault-tolerant, and high-performance big data platforms
•Work with distributed systems in all shapes and flavors (databases, file systems, compute, etc.)
•Shape and maintain continuous improvements and deployment of new clusters
•Implement observability solutions (logging, monitoring, alerting) to ensure system reliability and performance
•Optimize performance of large-scale distributed data platforms with appropriate cluster configurations, and resource management
•Practice sustainable incident response and blameless postmortems, with a focus on automation and root cause analysis
•Improve security and compliance by implementing access controls, encryption, and best practices for data governance
•Design and build automation tools to reduce toil and enhance the reliability of data platforms
•Self-service infrastructure to empower data teams while maintaining platform stability
•Collaborate with data and ML scientists and engineers to develop and roll out tools that enhance platform performance

SeniorData Platform EngineerFinancial ServicesEngineeringInformation TechnologyBig DataKubernetesHadoopDistributed SystemsAmsterdam

Key Responsibilities

•Design, develop, operate, and maintain scalable, reliable, fault-tolerant, and high-performance big data platforms

•Work with distributed systems in all shapes and flavors (databases, file systems, compute, etc.)

•Shape and maintain continuous improvements and deployment of new clusters

•Implement observability solutions (logging, monitoring, alerting) to ensure system reliability and performance

•Optimize performance of large-scale distributed data platforms with appropriate cluster configurations, and resource management

•Practice sustainable incident response and blameless postmortems, with a focus on automation and root cause analysis

•Improve security and compliance by implementing access controls, encryption, and best practices for data governance

•Design and build automation tools to reduce toil and enhance the reliability of data platforms

•Self-service infrastructure to empower data teams while maintaining platform stability

•Collaborate with data and ML scientists and engineers to develop and roll out tools that enhance platform performance