Data Platform Engineer - OLAP

This is Adyen

Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition.

For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster.

Sitting at the intersection of Data Engineering, Backend Engineering, and Systems Engineering, Data Platform Engineers at Adyen build the foundational layer of tooling and processes for our on-premise Analytical 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.

We’re looking for an expert with deep knowledge in distributed systems, to focus on our internal Online Analytical Processing (OLAP) ecosystem. You’ll collaborate with Data and ML Engineers to continuously improve this ecosystem. You’ll also collaborate with other platform engineers to position this ecosystem properly within the larger Data/AI/ML Platform capabilities, powered by Hadoop, Kubernetes, Spark, Trino, Flink, and Ray.

What you’ll do

Your responsibilities will focus on building new tools and improving existing tooling within the Data Platform ecosystem. Key focus areas include:

Performance at Scale: Develop and maintain high-performance OLAP systems, supporting multi-tenant query workloads and ingestion pipelines with real Big Data scale.

Reliability: Work with system reliability in mind, ensuring high availability for business-critical analytical products through observability and engineering excellence.

Productize the Platform: Build self-service tooling that enabl