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Data Engineer

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Data Engineer

Location: London (Hybrid)

Salary: Up to ยฃ85,000/yr

Permanent

๐Ÿ“ Title: Data Engineer

๐Ÿ’ฐ Salary: Up to ยฃ85,000 + Target Bonus

๐Ÿ– Benefits: great work/life balance with company social events, competitive holiday entitlements, enhanced parental leave and more!

๐Ÿ“ Location: London

๐ŸšŠ Flexibility: Hybrid role with 3 days WFH

*Unfortunately, Sponsorship is not on offer for this role*

About the company

They are a tech-driven global investment management firm and one of the worldโ€™s largest hedge fund managers!

The company was founded 200+ years ago and is listed on the London Stock Exchange, with over 1000 employeesโ€™ company wide, and a tech function that operates like its own small company with a flat structure and ample opportunities for growth and learning.

Their tech function are industry leaders, continually investing in infrastructure, staff and research, fomenting an open, collaborative environment where technology meets both quantitative and discretionary investment management.

Role Summary

As a Data Engineer you will be joining the tech function and have the chance to boost your career by joining a fast-paced and ambitious team creating state-of-the-art tools for a range of data-related activities, including onboarding, analysis, sourcing, quality checking and lifecycle management. You will have the opportunity to work on a varied and highly optimised data estate.

Responsibilities:

  • Develop and maintain core tools that enable analysts, quants, and engineers to onboard and analyse dataset at multi-terabyte-scale.
  • Collaborate with the wider Data Science team as you design and develop unique, custom solutions to solve their big data challenges.
  • Design and implement strategies and tools to ensure the quality of the thousands of datasets in use.
  • Collaborate with front office engineering teams as they utilize the company’s data platform.
  • Discover and leverage best third-party-tools and cloud technologies that can help to optimise the full data pipeline from scouting to trading.

Essential Requirements for This Role:

  • 2+ years experience as a Data Engineer
  • Extensive programming experience, ideally in Python
  • Proficiency on Linux platforms with knowledge of scripting languages.
  • Knowledge of modern practices for ETL, data engineering and stream processing
  • Working knowledge of one or more relevant database technologies e.g. MongoDB, PostgreSQL, Snowflake, Oracle, ArcticDB
  • First-class degree in Mathematics, Computer Science, or similar.0

Nice to have:

  • Prior experience of working with financial market data or alternative data
  • Experience in data visualisation and building web apps in modern frameworks e.g. React
  • Prior experience with AWS

Recruiter: Vega Caputo Ortiz

LinkedIn

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