Senior Data Platform Engineer - OLAP - Adyen

Ayden

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Work type
On-site
Location
Amsterdam, Netherlands
Posted
4 days ago

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How this pay compares to similar roles

Similar $178k
$127k most similar roles pay here $232k

This listing doesn't post a salary. Most similar roles pay $142,850–$213,756.

Based on 240 similar postings.

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About Ayden

Adyen is a global payments platform that provides end-to-end payment processing, merchant acquiring, and issuing solutions to large global companies, enabling them to accept payments anywhere in the world. Industry: Payments Technology & Financial Services

Ayden currently has 113 open roles on FindRole.

Listed pay typically runs $180,000–$243,000 across 50 roles with salary data.

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At a glance

TL;DR · Senior Data Platform Engineer - OLAP - Adyen

As a Senior Data Platform Engineer specializing in OLAP at Adyen, you will join a dynamic team responsible for building and maintaining the company’s foundational big data platforms. Your day-to-day involves scaling and optimizing real-time analytical systems like Druid and FastAPI, while also enhancing metadata collection and data lineage tools to ensure high-quality data discoverability. You’ll work closely with data engineers and ML scientists to develop robust Kafka ingestion pipelines and stream processing frameworks that support tens of thousands of daily Spark jobs across a massive 500-node cluster. Expertise in Python or Java, along with deep knowledge of distributed systems like Spark, Trino, and ClickHouse, is essential for this role, which demands both innovation and continuous improvement to maintain Adyen’s cutting-edge data infrastructure at scale.

What you'll do

  • Design and optimize real-time analytical systems using Druid, FastAPI, Java, Kafka.
  • Develop high-performance data ingestion pipelines with robust Kafka frameworks.
  • Enhance metadata collection and data lineage tools for improved data quality.
  • Build and maintain distributed big data platforms supporting thousands of daily jobs.
  • Optimize continuous integration and deployment environments in a large-scale private cloud.
  • Create stream processing applications to reduce time-to-insight for analysts and scientists.

What we're looking for

  • 6+ years of experience in Python or Java with a focus on object-oriented programming.
  • Expertise in developing and maintaining distributed compute/data systems like Spark, Trino, Druid, ClickHouse.
  • Proven skills in building real-time and batch pipelines using Kafka and Spark Streaming.
  • Experience in designing data contracts, validation frameworks, and optimization tooling for large-scale platforms.
  • Strong background in CI/CD and infrastructure optimization within a private cloud environment.
  • Ability to enhance metadata collection, data lineage, and platform-wide data quality tools.

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