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Senior Data Engineer

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Onsite

Senior Data Engineer

Adyen

Senior Data Engineer

Skills

SQL QueriesBig DataData EngineeringPythonKafkaPySparkApache AirflowHadoop

2 months ago

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Important information


Contract type:

Permanent

Location:

Amsterdam, Netherlands

Work mode:

Onsite

Published on:

8 August 2026

What they need


  • At Adyen, we treat data and data artifacts as first-class citizens. They form our backbone and drive the business and product insights we generate. To this end, Adyen is looking for a Senior Data Engineers in Amsterdam.
  • We’re looking for engineers that understand the business context and the data needs behind it, and excel in implementing high-quality data pipelines on our Big Data Platform. As a Senior Data Engineer at Adyen, you will play a crucial role in shaping our data infrastructure and ensuring the seamless flow of data across various systems
  • Collaborative Solution Development: Engage with a diverse range of stakeholders, including data scientists, analysts, software engineers, product managers, and customers, to understand their requirements and craft effective solutions
  • State-of-the-Art Pipelines and Architecture: Design, develop, deploy and operate high-quality production ELT pipelines and data architectures. Integrate data from various sources and formats, ensuring compatibility, consistency, and reliability. Design scalable architectures
  • Champion Data Best Practices: Proactively establish and advocate for best practices in performance, code quality, data validation, data governance, and discoverability across Adyen through mentoring, training, and knowledge sharing
  • High Quality Data and Code: Ensure data is accurate, complete, reliable, relevant, and timely. Implement rigorous testing, monitoring and validation protocols for your code and data, leveraging tools such as Pytest
  • Performance Optimization: Identify and resolve performance bottlenecks in data pipelines and systems. Optimize query performance and resource utilization to meet SLAs and performance requirements, using technologies such as caching, indexing, partitioning, and other Spark optimizations

Benefits

  • Global exchange program
  • Weekly happy hour
  • Delicious healthy lunches
  • Phantom share package
  • Yearly trip to Amsterdam
  • Paid holidays
  • Work from home opportunities- Experienced in Big Data: Over 7 years of experience working as a Data Engineer or in a similar role
  • Clear Communicator: Skilled at articulating complex data-related concepts and outcomes to a diverse range of stakeholders
  • Data & Engineering practices: You possess an expert-level understanding of both Software and Data Engineering practices
  • Innovator: You have an experimental mindset with a ‘launch fast and iterate’ mentality
  • Technical Super Star: Highly proficient in tools and languages such as: Python, PySpark, Airflow, Hadoop, Spark, Kafka, SQL, Git
  • Self-starter: Capable of independently recognizing opportunities, devising solutions, leading, prioritizing and owning projects
  • Data Culture Champion: Experienced in fostering a data-centric culture within large, technical organizations and setting standards for excellence and continuous improvement

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