Senior Data Engineer

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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