Senior Data Platform Engineer OLAP
Adyen is a financial technology company providing a unified platform for payments, data, and financial products. It serves global enterprises, retailers, platforms, marketplaces, and other high-growth businesses.
Projects
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.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will expand data platform capabilities across OLAP and data engineering ecosystems. You will build and improve distributed infrastructure, develop data quality and discoverability tools, optimize CI/CD environments, and create reliable real-time and batch streaming systems for analytical workloads.
Requirements
- 6+ years of object-oriented programming experience in Python or Java
- Experience with distributed compute and data systems such as Spark, Trino, Druid, or ClickHouse
- Experience with real-time and batch pipelines
- Experience with Kafka and Spark Streaming
- Strong communication skills
- Experience building reliable and user-friendly data systems
Responsibilities
- Scale and optimize OLAP ecosystems
- Design data contracts and validation frameworks
- Build optimization tooling and Kafka ingestion pipelines
- Develop and maintain high-performance distributed data platforms
- Work with databases, filesystems, and compute engines
- Build metadata collection and data lineage tools
- Improve platform-wide data quality
- Optimize continuous release and deployment environments
- Develop stream processing applications and frameworks
