Data Engineer

Jane Street; Hong Kong; On-site; HKD 700,000 - 1,100,000; Full time

Job summary

Jane Street in Hong Kong is seeking a Data Engineer to turn messy datasets into reliable inputs for research and trading. You’ll own end-to-end data pipelines and collaborate with trading desks to understand data needs and shape the systems you use daily.

The role blends engineering, data analysis, and product sense. You’ll write clear, maintainable code (Python preferred), work with SQL and DataFrame libraries, and communicate insights concisely as you uncover meaningful patterns in unfamiliar

Qualifications

• Strong programming skills in Python; write clear, correct, maintainable code.
• Proficient with SQL or DataFrame libraries (pandas/Polars).
• Curious, meticulous in data investigation and pattern discovery.
• Clear and concise communicator.

Responsibilities

• Build pipelines that ingest and transform external data.
• Own data work from end to end and collaborate with trading desks.
• Shape data systems and tools used daily.

Skills

Python

SQL

Pandas/Polars

Data analysis

Communication

Tools

Pandas

Polars

Job description

About the Position

We are looking for a Data Engineer to turn messy, real-world datasets into reliable inputs for research and trading. Jane Street depends on data from a wide variety of sources to understand markets and the global economy—think world news, decades of weather patterns, deidentified credit card spending, or packet captures of stock exchange market data feeds. Clean, well-structured data is the difference between noise and a profitable trading signal.

You’ll work closely with trading desks to identify Jane Street’s data needs, evaluate datasets, and build pipelines that ingest and transform external data. You’ll figure out what data means and how best to represent it. We build our own tools and software when needed, so you’ll also help shape the systems you use every day.

This is a collaborative role, but you’ll own your work from end to end. It requires a mix of engineering, data analysis, and product sense. You’ll develop deep expertise in your data domains and use that understanding to decide what’s worth building next.

About You

• Have strong programming skills in any language (Python a plus); you write clear, correct, and maintainable code
• Proficient with SQL or DataFrame libraries like pandas or Polars
• Intellectually curious with a meticulous approach to data investigation; you enjoy the detective work required to make sense of unfamiliar datasets
• A clear and concise communicator