Data Engineer - Amsterdam- Global Prop Trading Firm
Posted
Summary
Data engineer at a global proprietary trading firm (HFT market maker) in Amsterdam, building production-grade data capabilities for the local research team. Day to day: designing ETL/ELT pipelines with Spark, Databricks and dbt, scaling research workflows, and collaborating with data platform teams worldwide.
This is a fantastic opportunity to work in the global HQ of this tech-focused market maker with groundbreaking success in the high frequency trading space. Now looking for an experienced data engineer to advance the data capabilities of the local research team and contribute to a broader Lakehouse architecture vision.
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You will join a small, high-impact team with a mandate to build best-in-class data capabilities from the ground up. Working with a modern Lakehouse and dbt stack, you'll translate experimental research workflows into scalable, production-grade systems.
As a critical engineering presence in Amsterdam, you'll directly influence local data strategy while collaborating with research and data Platform teams across the global business. Your work will drive real-time insights, enable predictive analytics, and power decision-making across the trading lifecycle.
This role combines hands-on data engineering, cross-regional collaboration, and platform innovation-all within a high-performance, data-driven environment.
Requirements
Rewards and Incentives
Contact
If you feel you are a strong match for this role, please do not hesitate to get in touch:
Dominic Copsey
/in/dom-copsey-586478143/
Lees nu meer over de dagelijkse taken, algemene verantwoordelijkheden en vereiste ervaring voor deze functie door naar beneden te scrollen.
You will join a small, high-impact team with a mandate to build best-in-class data capabilities from the ground up. Working with a modern Lakehouse and dbt stack, you'll translate experimental research workflows into scalable, production-grade systems.
As a critical engineering presence in Amsterdam, you'll directly influence local data strategy while collaborating with research and data Platform teams across the global business. Your work will drive real-time insights, enable predictive analytics, and power decision-making across the trading lifecycle.
This role combines hands-on data engineering, cross-regional collaboration, and platform innovation-all within a high-performance, data-driven environment.
Requirements
- Experience designing, building and maintaining ETL/ELT pipelines using Spark, Structured Streaming, Databricks, etc.
- Outstanding communication & collaboration skills at all levels of technical ability
- Successful track record of optimizing and productionizing research workflows, with particular attention to scalability, resilience and performance tuning
- Experience mentoring junior engineers and driving a culture of DataOps excellence
Rewards and Incentives
- Great base salaries and industry-leading bonuses
- Flat, transparent structure with autonomy to deliver solutions
- Direct business impact xgiwjmb with short feedback loop
- Generous benefits package, including training opportunities, discounts on health insurance, fully paid commuting expenses, fantastic office perks (breakfast, lunch and dinner, world-class barista coffee, in-house physio, regular social & sports activities)
- Relocation packages and visa sponsorship where necessary
Contact
If you feel you are a strong match for this role, please do not hesitate to get in touch:
Dominic Copsey
/in/dom-copsey-586478143/