Requirements

Fluency in Python and/or Java. Golang or Rust are also appreciated.
Team player with strong communication skills.
Ability to work closely with diverse stakeholders you enable (analysts, data scientists, data engineers, etc.) and depend upon (infrastructure, security, etc).

What you'll be doing

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 enables Data Engineers and Analysts to independently manage their data assets and diagnose issues.
Data Quality: Engineer automated frameworks to validate data integrity and leverage metadata-driven tools to enhance data discoverability, lineage, and cataloging across the ecosystem.
Ecosystem Integration: Architect seamless integrations of the OLAP ecosystem with adjacent distributed systems (e.g. storage, messaging, and batch / stream processing systems)
Efficiency & Governance: Monitor and optimize cluster resource-efficiency while making sure the platform adheres to global security and data privacy standards.

Experience in OLAP technologies, like Druid, Clickhouse, Pinot, Doris, Starrocks, etc
Experience in CI/CD pipelines, for code and infrastructure automation.
Experience in Kubernetes
Experience in infrastructure and large-scale private cloud systems
Additional experience developing and maintaining:

Other distributed data and compute systems like Spark, Trino, etc
Data modelling for databases
Real-time and batch data pipelines (via Kafka, Spark streaming) with an eye for frameworks, and emphasis on user friendliness and quality.

Our unique approach is a product of our diverse perspectives. This diversity of backgrounds and cultures is essential in helping us maintain our momentum.
Ensuring a smooth and enjoyable candidate experience is critical for us. We aim to get back to you regarding your application within 5 business days.
This role is based out of our Amsterdam office. We are an office-first company and value in-person collaboration; we do not offer remote-only roles.