Data Operations Engineer

Optiver is a global market maker that relies on technology and data to support trading, research, and analytics systems. The Data Operations Engineer will ensure the reliability and scalability of the data platform by troubleshooting production issues, onboarding datasets, improving platform operations, and building data pipelines, quality frameworks, and APIs in partnership with trading, research, engineering, and external vendor teams.

Responsibilities

Serve as the primary point of contact for traders, researchers, and engineers on data platform issues and operational support

Investigate and resolve data quality, freshness, and availability issues across business-critical datasets

Monitor data ingestion pipelines, scheduled workflows, and real-time market data feeds, responding rapidly to alerts and minimizing production impact

Partner directly with external data vendors to resolve upstream issues, manage specification changes, and ensure timely delivery of accurate datasets

Communicate clearly during production incidents, providing timely updates and driving issues through to resolution

Integrate and operationalize new datasets, including schema mapping, normalization, historical backfills, and metadata management

Design, build, and maintain reliable, scalable ETL/ELT pipelines supporting both real-time trading systems and research platforms

Develop automated data quality validation, monitoring, and anomaly detection frameworks to proactively identify issues

Model and normalize complex financial datasets to ensure they are accurate, consistent, and production-ready

Build and maintain high-performance APIs that expose market and reference data to trading, research, and analytics platforms

Partner closely with traders, researchers, and engineering teams to understand evolving data requirements and deliver scalable solutions

Contribute to the ongoing evolution of Optiver's global data platform, improving reliability, observability, and operational excellence

Preferred

Experience with modern lakehouse technologies such as Delta Lake, Databricks, or cloud-based data platforms

Exposure to real-time and historical financial market data (such as equities, ETFs, fixed income, or credit)

Lakehouse Technologies

Delta Lake

Databricks

Cloud Data Platforms

Real-Time Financial Market Data

Historical Financial Market Data

Equities

ETFs

Fixed Income

Benefits

The opportunity to work alongside best-in-class professionals from over 40 different countries

Performance-based bonus structure

401(k) matching up to 50%

Comprehensive medical, dental, vision, disability, life, and mental health coverage

25 paid vacation days alongside market holidays

Extensive office perks, including breakfast, lunch and snacks, regular social events, clubs, sporting leagues, and more

Company

Technology-driven trading firm providing liquidity in financial markets

Amsterdam, Noord-Holland, NLD

http://www.optiver.com/

Founded in 1986

1001-5000 employees

Qualifications

3+ years of experience as a Data Engineer, Data Operations Engineer, Software Engineer, Site Reliability Engineer, or similar role in a high-performance or mission-critical environment

Strong Python programming skills, including experience with libraries such as Pandas, PyArrow, and Spark

Experience building and maintaining scalable data pipelines, APIs, and data processing systems

Strong understanding of data modeling, normalization, and data quality best practices

Strong operational mindset with a passion for ownership, troubleshooting, automation, and continuous improvement

Excellent communication and collaboration skills, with the ability to partner effectively with traders, researchers, engineering teams, and external data vendors

Legal authorization to work in the U.S. is required; we will not sponsor individuals for employment authorization for this role

Experience with modern lakehouse technologies such as Delta Lake, Databricks, or cloud-based data platforms

Exposure to real-time and historical financial market data (such as equities, ETFs, fixed income, or credit)

Required skills

Python, Pandas, PyArrow, Apache Spark, Data Pipelines, API Development, Data Modeling, Data Normalization, Data Quality Management, Delta Lake, Databricks, Financial Market Data

Experience

3+ years