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Be ready on database design trade-offs (scale, security, partitions, indexes), data modeling, and how you gather requirements with architects. Practice explaining past pipelines and failure modes clearly—Jane Street’s public technical brand rewards precision.
Strong fit if you like rigorous data systems work in London finance tech, can collaborate across engineering roles, and care about correctness and performance more than flashy product features.
As a Data Engineer at Jane Street in London, expect to design and document data architectures, build scalable and reliable databases, model metadata/views, and partner with systems and software architects so trading and research systems get efficient, secure data paths—aligned with core O*NET data engineer tasks.
No—the listing is London-based with remote set to off-site not allowed (remote = 0).
Per O*NET, design and document database architectures, models, and applications for scalable, secure, reliable access.
freeCodeCamp and Saylor are free; CS50 and Microsoft Learn are free to learn—costs match the provided CERTS list.
Public-domain labor data — prepare examples for 2–3 of these.
Website: janestreet.com
Public cache only — not an employee review.
Data EngineerJanestreetLondon Role Overview We are seeking a Data Engineer to transform raw, complex datasets into reliable inputs for research and trading at Jane Street. Our organization relies on diverse data sources such as world news, weather patterns, credit card spending, and market data feeds to gain insights into markets and the global economy. Clean, well-structured data is crucial in distinguishing between noise and profitable trading signals. What You'll Do Collaborate closely with trading desks to identify Jane Street's data needs, evaluate datasets, and build pipelines for ingesting and transforming external data. Analyze and interpret data, determining its meaning and optimal representation. Create and maintain tools and software as needed, shaping the systems you use daily. This role is collaborative but requires end-to-end ownership of your work. It demands a blend of engineering, data analysis, and product sense to develop deep expertise in your data domains and decide what's worth building next. What You Bring Strong programming skills in any language (Python preferred); ability to write clear, correct, and maintainable code. Proficiency with SQL or DataFrame libraries like pandas or Polars. Intellectually curious with a meticulous approach to data investigation; enjoy the detective work required to make sense of unfamiliar datasets. Clear and concise communication skills. Fluency in English is required. Working at Janestreet At Jane Street, we value intellectual curiosity and meticulous attention to detail. We offer a collaborative environment where you can develop deep expertise in your data domains and contribute meaningfully to our mission of turning complex data into actionable insights. Applying for This Role To apply, complete your application directly on this page, or you'll be redirected to the employer's application platform to finish submitting there.
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