Senior Data Engineer

Optiver is seeking a Data Engineer to own the end-to-end data lifecycle, from raw data capture to normalized datasets. The role involves building robust data pipelines, managing data sources, modeling financial datasets, ensuring data quality, and contributing to the global data platform's scaling. They are looking for someone who can collaborate closely with various teams to meet data-intensive strategies.

Requirements

• Build and maintain robust data pipelines.
• Ingest, catalog, and manage data sources (market data, execution data, reference data).
• Model and normalize complex financial datasets.
• Implement rigorous data-quality checks and monitoring.
• Collaborate with traders, researchers, and engineers.
• Implement distributed data pipelines.
• Design and implement distributed data pipelines using lakehouse architectures (Delta Lake, Databricks preferred).
• Strong software engineering fundamentals and performance/scalability in distributed systems.