Quant jobs / Optiver

Data Engineer – Trading

A senior data engineering role turning research workflows into reliable production pipelines for a local research team. It sits between Amsterdam research and the firm's global data platform group.

What you’d work on

Our reading of the posting: what a new hire in this role would most likely spend their first months on.

Build and tune batch and streaming pipelines for research data
Convert experimental research code into production-grade jobs
Create reusable templates so researchers can onboard quickly
Set and document data engineering standards for the team

What they ask for

Required

ETL/ELT pipeline design
Apache Spark and Structured Streaming
Databricks and lakehouse architecture
Performance tuning
Mentoring junior engineers
DataOps practices

Preferred

dbt
Delta Lake

Education: No degree level stated.
Experience: Seasoned data engineer able to lead; years not stated
Languages and tools: Spark
Databricks
dbt
SQL

How to prepare

Build a Spark pipeline over market data with Delta Lake tables
Learn how streaming and batch jobs differ in correctness guarantees
Practise data quality testing with dbt
Study how research workflows become scheduled production jobs

What to study

Apply

Read the full posting on Optiver’s site before applying: requirements, location and pay can change after we check them.

View the posting on Optiver’s site ↗

SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with Optiver and doesn’t handle applications.