Data Engineer: Post-Trade Analytics for Global Markets

Jump Crypto; Hong Kong; On-site; HKD 900,000 - 1,300,000; Full time

Job summary

Jump Trading Group, through its Post-Trade Analytics (PTA) Team, seeks a Data Engineer to own key datasets and pipelines powering post-trade analytics and research. You will work directly with traders and quantitative researchers to transform questions into data products that influence trading decisions across global markets.

You will build, operate, and scale datasets and pipelines, ensuring data trust with validation, monitoring, and lineage.

Qualifications

• 3+ years of experience as a Data Engineer or Software Engineer working with large-scale data.
• Proficiency in Python or C++ (and willingness to work across both).
• Proven expertise in building, operating, and scaling ETL/ELT pipelines.
• Strong command of SQL and familiarity with data analytics libraries such as Pandas/NumPy.

Responsibilities

• Partner directly with traders and quantitative researchers to turn complex questions into data products that shape how we trade across global markets.
• Build, operate, and scale the robust datasets and pipelines that power our post-trade analytics and research.
• Directly influence business priorities, trading strategies, and execution quality through high-impact data engineering.
• Guarantee trust in the numbers by building robust data validation frameworks, monitoring, alerting, data lineage, and incident response.
• Drive performance by optimizing data processing for speed, cost, and resilience, and resolve complex pipeline issues.
• Develop and optimize the tools, documentation, and foundational infrastructure for the wider research and trading teams.
• Other duties as needed

Skills

Python

C++

SQL

Data pipelines

ETL/ELT

Linux

Problem solving

Tools

Pandas

NumPy

Job description

Jump Trading Group, through its Post-Trade Analytics (PTA) Team, seeks a Data Engineer to own key datasets and pipelines powering post-trade analytics and research. You will work directly with traders and quantitative researchers to transform questions into data products that influence trading decisions across global markets.

You will build, operate, and scale datasets and pipelines, ensuring data trust with validation, monitoring, and lineage.