Functiebeschrijving
A leading quantitative trading firm combining-edge technology, data, and research to trade global markets is looking for an Enterprise Data Engineer to help design, build, and scale the next-generation data platform.
What You’ll Do
Design and implement robust data pipelines and ETL/ELT workflows to process large-scale market, reference, and alternative datasets.
Partner with quantitative researchers, traders, and software engineers to support high-performance analytics and real-time trading systems.
Champion data quality, lineage, observability, and governance across the enterprise.
Optimize infrastructure for scalability, resilience, and low-latency data access.
Contribute to the evolution of our cloud and on-premise data architectures (e.g., streaming, lakehouse, real-time event pipelines).
What We’re Looking For
Strong experience in data engineering within financial services, trading, or other high-throughput environments.
Deep understanding of data modeling, pipeline orchestration, and distributed data systems.
Advanced SQL and dbt skills
Hands‑on experience with Databricks or equivalent Lakehouse platforms.
Understanding of data governance and quality frameworks.
Experience working with real-time data and event-driven architectures.
Excellent communication and collaboration skills — able to work closely with technical and non‑technical stakeholders.
A proactive, ownership-driven mindset and a passion for solving complex data problems.
Seniority level
Not Applicable
Employment type
Full‑time
Job function
Finance
Capital Markets, Financial Services, and Investment Management
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Functiedetails
Publicatiedatum:
February 26, 2026
Functietype:
Technologie
Locatie:
Amsterdam, Netherlands
Company:
Radley James
Ready to Apply?
Don't miss this opportunity! Apply now and join our team.