Data Engineer • Senior

Who you are

You have 5+ years of experience as a Data Engineer or in a similar role within a high-performance environment, preferably in financial services. Your proficiency with Python is complemented by a strong understanding of C++, which is a big plus for this role. You are familiar with market data and exchange protocols, allowing you to effectively manage and process complex datasets.

You possess a solid understanding of data modeling and normalization, ensuring that datasets are clean, consistent, and easily accessible for both research and production. Your experience includes building and maintaining robust data pipelines, which are crucial for capturing and processing raw data efficiently. You are detail-oriented and implement rigorous data-quality checks to guarantee reliability and consistency across datasets.

What you'll do

In this role, you will own the end-to-end data lifecycle, starting from raw market data capture through to the delivery of normalized datasets. You will build and maintain robust data pipelines that ingest, catalog, and manage a variety of data sources, including market data, execution data, and reference data. Collaborating closely with traders, researchers, and engineers across multiple global offices, you will understand evolving data requirements and deliver scalable solutions that meet those needs.

You will contribute to the architecture and scaling of our global data platform, which supports ever-growing data-intensive strategies. Your responsibilities will also include ensuring all datasets are well managed and governed within our global data lake. You will implement monitoring and alerting systems to maintain data quality and reliability, ensuring that the data infrastructure supports the trading edge that Optiver is known for.

What we offer

At Optiver, we value collaboration and innovation, providing a dynamic environment where your contributions directly impact our trading strategies. You will be part of a team that is committed to leveraging technology and data to maintain our competitive edge in the market. We encourage you to apply even if your experience doesn't match every requirement, as we believe in the potential of diverse backgrounds and perspectives.