Senior Software Engineer - Data Platform Engineer (OLAP)

Adyen is a financial technology company providing a unified platform for payments, data, and financial products.

Distributed
About Adyen

Adyen provides payment processing and financial technology services through a single platform. Its offerings include online and in-person payments, payment methods, risk management, authentication, revenue optimization, issuing, payouts, liquidity management, embedded accounts, and capital. Adyen typically serves global enterprises, retailers, SaaS platforms, marketplaces, and other high-growth businesses.

View jobs by Adyen

Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will build and operate large-scale data platforms and the tools that support them. You will develop distributed systems, improve data quality and discoverability, optimize CI/CD infrastructure, create streaming applications, and maintain reliable real-time and batch pipelines.

Requirements

  • 8+ years of object-oriented programming experience
  • Expertise in Python or Java
  • Experience developing and maintaining distributed compute and data systems
  • Experience with Spark Trino Druid or ClickHouse
  • Experience building real-time and batch pipelines
  • Experience with Kafka or Spark Streaming
  • Strong communication and cross-team collaboration skills
  • Focus on reliability user-friendliness and platform scale

Responsibilities

  • Develop and maintain high-performance distributed big data platforms
  • Build tools for metadata collection data lineage and data quality
  • Work with distributed databases filesystems and compute engines
  • Optimize CI/CD and infrastructure in a private cloud environment
  • Develop stream processing applications and frameworks
  • Design data contracts validation frameworks and optimization tooling
  • Build and maintain Kafka ingestion pipelines
  • Operate real-time and batch data pipelines
  • Collaborate with data engineers and ML scientists