Senior Data Engineer

Adyen is a Dutch financial technology company providing global payment acceptance.

57 current maintainers51 active leads10 new active leads8 lead step-downsTeam intelligence

Maintainer signals as of 9/25/2026

Amsterdam, Netherlands
About Adyen

Adyen N.V. operates a unified financial technology platform for businesses. Its services cover online, in-person, and in-app payments; acquiring; payment methods; risk and authentication; platforms and marketplaces; payouts; card issuing; business accounts; capital; and liquidity management.

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Skills

Candidate Availability

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

About the Role

You design, develop, deploy, and operate production ELT pipelines and data architectures on a Big Data Platform. You integrate diverse data sources, establish engineering and governance practices, ensure data quality, optimize performance, and collaborate with stakeholders across technical and business functions.

Requirements

  • Over 7 years of experience as a Data Engineer or in a similar role
  • Expert-level Software Engineering and Data Engineering practices
  • Proficiency in Python, PySpark, Airflow, Hadoop, Spark, Kafka, SQL, and Git
  • Ability to communicate complex data concepts to diverse stakeholders
  • Experience establishing data standards and fostering a data-centric culture
  • Testing and validation experience with tools such as Pytest

Responsibilities

  • Engage stakeholders to understand requirements and develop solutions
  • Design, develop, deploy, and operate production ELT pipelines
  • Design scalable data architectures
  • Integrate data from varied sources and formats
  • Establish and advocate for performance, code quality, validation, governance, and discoverability practices
  • Mentor, train, and share knowledge
  • Ensure data accuracy, completeness, reliability, relevance, and timeliness
  • Implement testing, monitoring, and validation protocols
  • Identify and resolve pipeline and system performance bottlenecks
  • Optimize queries and resource utilization with caching, indexing, partitioning, and Spark optimizations

Hiring Process

The employer aims to respond to applications within 5 business days. The interview process typically takes about 4 weeks.