Data Platform Engineer

Adyen
Amsterdam
Workplace: OnsiteFull timeFunction: DevOps, Cloud & InfrastructureSkills: ["Python","Java","Golang","Rust","Spark","Trino","Druid","Kafka","Kubernetes","Docker","Hadoop","Hive","Yarn","HDFS","Kerberos"]

Data Platform Engineer at Adyen focuses on building and maintaining scalable, high-performance big data platforms at the intersection of Data Engineering, Backend Engineering, and Systems Engineering. You’ll develop and roll out tooling for data discoverability, improve deployment environments, and collaborate with data engineers, ML scientists, and DataOps to run large on-premises platforms (OLAP and Data Engineering ecosystems). Based in Amsterdam.

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Adyen
Adyen
9 months ago

Data Platform Engineer

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 21 hours agoStatus: Closed

Job Summary

Data Platform Engineer at Adyen focuses on building and maintaining scalable, high-performance big data platforms at the intersection of Data Engineering, Backend Engineering, and Systems Engineering. You’ll develop and roll out tooling for data discoverability, improve deployment environments, and collaborate with data engineers, ML scientists, and DataOps to run large on-premises platforms (OLAP and Data Engineering ecosystems). Based in Amsterdam.
Location: Amsterdam
Workplace: Onsite
Employment Type: Full time
Job Function: DevOps, Cloud & Infrastructure

Key Responsibilities

  • •Develop and maintain scalable and high performance big data platforms.
  • •Work with distributed systems in all shapes and flavors (databases, filesystems, compute, etc.).
  • •Identify opportunities to improve continuous release and deployment environments.
  • •Build or deploy tools to enhance data discoverability through the collection and presentation of metadata.
  • •Introduce and extend tools to enhance the quality of our data, platform-wide.

Key Requirements

  • •Fluency in Python. An addition of Java, Golang, or Rust is also appreciated.
  • •Team player with strong communication skills
  • •Ability to work closely with diverse stakeholders you enable (analysts, data scientists, data engineers, etc.) and depend upon (infrastructure, security, etc).
  • •Experience developing and maintaining: Distributed data and compute systems like Spark, Trino, Druid, etc; Data modelling tooling; DevOps pipelines and development ecosystems.
  • •Real-time and batch data pipelines (via Kafka, Spark streaming) with an eye for frameworks, and emphasis on user friendliness and quality.
Experience:Big dataData engineeringAnalytics
Skills:PythonJavaGolangRustSparkTrinoDruidKafkaKubernetesDockerHadoopHiveYarnHDFSKerberos
Languages:English
Tech Stack:PythonJavaGolangRustSparkTrinoDruidKafkaKubernetesDockerHadoopHiveYarnHDFSKerberos

Company Brief

Adyen
Global payments company providing a unified platform for accepting payments, risk management, and financial services to merchants and enterprises across online, mobile, and in-store channels.
Industry: Payments
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Amsterdam, Netherlands
Founded: 2006
WebsiteLinkedIn