Data Engineer

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Stanford Black Limited provided pay range

This range is provided by Stanford Black Limited. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

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Compensation up to £100,000

Hybrid working 3 days on site Central London

A top market leading Commodities Trading Firm is looking for Data Engineers to join a greenfield initiative to build a brand-new data platform on the principles of a modern data Lakehouse architecture.

In this role, you will be a key member in the processing of real-time data streams and create scalable ingestion and transformation workflows using Python, SQL, and modern Lakehouse technologies such as Iceberg, Parquet, and Apache Hudi.

This is a rare opportunity to join at an early stage and become one of the most senior technical contributors, helping define architecture, set engineering best practices, and drive the firm's transition to a modern data platform that underpins critical trading decisions.

Required

• 5+ years of Python development experience in an enterprise environment.
• Experienced with end-to-end involvement in building a data Lakehouse.
• Solid knowledge of related data Lakehouse technologies like Parquet, Apache Iceberg, Apache Hudi, Spark (or similar).
• Strong Computer Science, Engineering (or a related subject) background.
• Able to work in a modern software engineering environment, using Agile and DevOps methodologies and tools including Scrum, git and CI/CD.
• Market leading Compensation and Benefit packages.
• Working in a modern office in the heart of London, with the ability to work from home when required.
• The opportunity to work for a top Commodities Trading firm in an incredibly collaborative culture.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Information Technology and Engineering

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London, England, United Kingdom