DataEngineer

Optiver is a leading global market maker powered by technology, rigorous research, and deep collaboration. As we become increasingly data-driven, our ability to capture, model, and deliver high-quality data at scale is fundamental to maintaining our trading edge. We are seeking a Data Engineer to join our Data Engineering team. In this role, you will own the end-to-end data lifecycle—from raw market data capture through to normalized datasets used by both trading and research. WHAT YOU’LL WORK ON: Build and maintain robust data pipelines for capturing and processing raw data. Ingest, catalog, and manage a variety of data sources, including market data, execution data, reference data, and more. Model and normalize complex financial datasets to ensure they are clean, consistent, and easily accessible for research and production. Ensure all datasets are well managed and governed within our global data lake. Collaborate closely with traders, researchers, and engineers across multiple global offices to understand evolving data requirements and deliver scalable solutions. Implement rigorous data-quality checks, monitoring, and alerting to guarantee reliability and consistency. Contribute to the architecture and scaling of our global data platform to support ever-growing data-intensive strategies. WHAT YOU WILL NEED: Experience as a Data Engineer or in a similar role within a high-performance environment, preferably in the financial services industry. We are open to candidates across a range of experience levels, including junior talent. Proficiency with Python, C++ is a big plus Experience with market data & exchange protocol is highly desirable Solid understanding of data capturing, data modeling, and normalization. Proficiency in designing and implementing distributed data pipelines. Experience with lakehouse architectures (e.g., Delta Lake, Databricks) is preferred. Strong software engineering fundamentals, especially around performance, reliability, and scalability in