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Data Platform Engineer

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Adyen

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Location:
Netherlands , Amsterdam

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

Data Platform Engineers at Adyen build the foundational layer of tooling and processes for our on-premise Big Data Platforms. These tools support 10s of products, 100s of developers, and 1000s of daily jobs that add to Adyen’s strong portfolio of capabilities. You’ll collaborate with data engineers and ML scientists and engineers to build and roll-out these tools. Along with DataOps Engineers, you’ll develop and operate multiple big data platforms, of which the biggest is 500+ nodes, with 25k+ CPU cores, 240+ TBs of RAM, and 23+ PBs of storage capacity, running tens of thousands of spark jobs a day.

Job Responsibility:

  • 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
  • Explore and introduce technologies and practices to reduce the time to insight for analysts and data scientists
  • Develop streaming processing applications and frameworks
  • Build the foundational layer of tooling and processes for on-premise Big Data Platforms
  • Collaborate with data engineers and ML scientists and engineers to build and roll-out tools
  • Develop and operate multiple big data platforms

Requirements:

  • Fluency in Python
  • Experience developing and maintaining distributed data and compute systems like Spark, Trino, Druid, etc
  • Experience developing and maintaining DevOps pipelines and development ecosystems
  • Experience developing and maintaining real-time and batch data pipelines (via Kafka, Spark streaming)
  • Experience with Kubernetes ecosystem (k8s, docker), and/or Hadoop ecosystems (Hive, Yarn, HDFS, Kerberos)
  • Team player with strong communication skills
  • Ability to work closely with diverse stakeholders

Nice to have:

An addition of Java, Golang, or Rust is also appreciated

Additional Information:

Job Posted:
December 15, 2025

Work Type:
On-site work
Job Link Share:

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