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Data Engineer

Remote / Online - Candidates ideally in
Liverpool, Merseyside, L1, England, UK
Listing for: Stanford Black Limited
Full Time, Remote/Work from Home position
Listed on 2026-02-16
Job specializations:
  • IT/Tech
    Data Engineer, Data Science Manager
Salary/Wage Range or Industry Benchmark: 100000 GBP Yearly GBP 100000.00 YEAR
Job Description & How to Apply Below

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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 Dev Ops 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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