Data Engineer

Janestreet

Greater London

On-site

GBP 70,000 - 120,000

Full time

14 days+

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Job summary

Jane Street is seeking a Data Engineer to turn messy, real-world datasets into reliable inputs for research and trading. You’ll build pipelines that ingest and transform external data, working closely with trading desks to understand data needs and shape datasets for analysis.

This collaborative role lets you own your work end-to-end, mixing engineering, data analysis, and product sense. You’ll develop deep data-domain expertise and decide what to build next.

Qualifications

  • Proficient in Python and SQL.
  • Experience with data analysis and data wrangling.
  • Strong understanding of data structures and pipelines.

Responsibilities

  • Build and maintain data ingestion and transformation pipelines.
  • Collaborate with trading desks to understand data needs and shape datasets.
  • Own end-to-end data engineering work from source to research inputs.

Skills

Python
SQL
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
  • Fluency in English required
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