Data Engineer

WHO WE ARE

Optiver is a global market maker founded in Amsterdam, with offices in London, Chicago, Austin, New York, Sydney, Shanghai, Hong Kong, Singapore, Taipei and Mumbai. Established in 1986, today we are a leading liquidity provider, with close to 2,000 employees in offices around the world, united in our commitment to improve the market through competitive pricing, execution and risk management. By providing liquidity on multiple exchanges across the world in various financial instruments we participate in the safeguarding of healthy and efficient markets. We provide liquidity to financial markets using our own capital, at our own risk, trading a wide range of products: listed derivatives, cash equities, ETFs, bonds and foreign currencies.

We’re looking for a hands-on Data Engineer to accelerate the way our traders and researchers generate alpha in commodity derivatives, including iron ore, electricity, petroleum and other commodities products. In this role, you’ll design and build flexible, high-performance data onboarding and research workflows that enable new datasets to be evaluated in days. 

You’ll be embedded closely with trading and research teams, building tools and infrastructure that streamline the entire data journey, from ingestion to live signal evaluation and model updates. You will work with our best engineers, traders, and researchers. Your ideas will be shipped to production quickly, and will impact trading outcomes the next day. 

At Optiver, AI is in our DNA. Every day you will both use AI to accelerate your productivity writing code and as part of your solutions impacting trading.

WHAT YOU'LL DO

• Build and maintain robust ingestion pipelines for a wide range of external datasets (e.g. news, freight, weather, demand forecasts, surveys, regulatory). 

• Develop lightweight, scalable schemas and storage patterns to support rapid data exploration. 

• Work closely with traders and researchers to identify pain points and design tools that remove workflow friction. 

• Create sandboxed pipelines for fast experimentation with new datasets, with a clear path to production if they prove valuable. 

• Champion best practices in data lineage, reproducibility, and accessibility. 

 

WHO YOU ARE

We are looking for a highly skilled Data Engineer with:

• Minimum 5 years of experience as a data engineer or in a similar role, ideally in a trading, hedge fund, tech or alternative data environment. 

• Strong programming skills in Python and SQL, and deep familiarity with modern data tooling (e.g. Airflow, Spark, Databricks, etc.). 

• Prior experience working with commodities-related datasets a bonus. For eg: news, weather, demand forecasts, freight, satellite and remote sensing data, geoloca