Data Operations Engineer

Optiver is a global technology- and research-driven proprietary trading firm and market maker providing liquidity across financial markets, including through an active 24/7 Digital Assets desk.

Amsterdam, Netherlands
About Optiver

Founded in Amsterdam in 1986, Optiver uses its own capital, quantitative research and proprietary technology to continuously quote, price and trade financial instruments across global markets. Its activities include listed derivatives, cash equities, ETFs, bonds, foreign currencies and digital assets; its Digital Assets desk operates crypto options market-making strategies across major venues with follow-the-sun coverage.

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Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will resolve data-platform incidents, monitor ingestion workflows and market-data feeds, work with vendors, onboard and normalize datasets, build ETL and ELT pipelines, automate data-quality validation, maintain APIs, and improve reliability and observability for trading and research data systems.

Requirements

  • 3+ years of experience in data engineering, data operations, software engineering, site reliability engineering, or a similar role
  • Python
  • Pandas
  • PyArrow
  • Spark
  • Experience building scalable data pipelines, APIs, and data-processing systems
  • Data modeling, normalization, and data-quality knowledge
  • Legal authorization to work in the U.S.

Responsibilities

  • Provide operational support for data platform issues
  • Investigate and resolve data quality, freshness, and availability issues
  • Monitor ingestion pipelines, scheduled workflows, and market data feeds
  • Partner with external data vendors to resolve upstream issues
  • Communicate during production incidents and drive resolution
  • Integrate and operationalize new datasets
  • Build and maintain ETL and ELT pipelines
  • Develop automated data-quality validation, monitoring, and anomaly-detection frameworks
  • Model and normalize financial datasets
  • Build and maintain APIs for market and reference data
  • Improve platform reliability, observability, and operational excellence

Benefits

  • Performance-based bonus
  • 401(k) match up to 50%
  • Medical, dental, vision, disability, life, and mental health coverage
  • 25 paid vacation days
  • Market holidays
  • Office breakfast, lunch, and snacks
  • Regular social events, clubs, and sporting leagues