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Software Developer & Data Engineer - Elite Data Development Group - Hedge Fund (Hybrid)

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London

On-site

GBP 60,000 - 100,000

Full time

Yesterday
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Job summary

An emergent Multi-Strategy Hedge Fund is seeking a talented Software/Data Engineer to join their innovative team in London. This role offers the opportunity to design and implement advanced Big Data solutions, focusing on the ingestion and storage of large datasets. With a collaborative and fast-paced environment, you'll work closely with Trading and Quant Research teams, gaining valuable insights into buy-side trading mechanics. Ideal candidates will have a strong background in Python, ETL/ELT pipelines, and SQL, with a passion for data engineering. Join a vibrant company that promotes mobility and growth across various locations and roles.

Qualifications

  • 3-8 years of Data and Software Engineering experience.
  • Expertise in Python and strong SQL skills.

Responsibilities

  • Design and implement advanced Big Data solutions.
  • Develop ETL/ELT data pipelines for high throughput.

Skills

Python
ETL / ELT pipelines
SQL
Pandas
Cloud experience (AWS)
C#
C++
Rust

Tools

Postgres
MongoDB
Redis

Job description

Job Description

My client is an emergent Multi-Strategy Hedge Fund. Post onboarding a number of new Trading desks across both the Systematic HFT and Discretionary businesses, they're now looking to hire an experienced Software Engineer / Data Engineer to work closely with Trading, Quant Research, and parallel Technology teams.

This is a fast-paced, collaborative, and innovative environment, suited to individuals with an entrepreneurial spirit, able to work both autonomously and as part of a vibrant, rapidly expanding group.

Your focus will be on the design, building, and implementation of advanced Big Data solutions to enable the capture, ingestion, storage, and provision of Terabyte-sized Alternate Datasets. Tools you'll create include:

  • ETL / ELT Data Pipelines and Frameworks
  • APIs
  • Data Store

Candidate's suitable for this role will ideally have

  • 3-8 years of blended Data Engineering and Software Engineering skills, including ETL / ELT pipelines for high throughput and low latency data
  • Expertise in Python, including Object-Oriented Python
  • Deep understanding of Pandas
  • Strong SQL skills, with experience with both SQL and NoSQL databases such as Postgres, MongoDB, Redis, etc.
  • Cloud experience with major providers, especially AWS
  • Experience with C#, C++, Rust is desirable but not essential

What you'll gain (Skills and Mobility)

  • Develop an in-depth understanding of the mechanics of buy-side trading
  • Gain knowledge of traditional and emerging asset classes including equities, fixed income, FX, commodities, and digital assets
  • Mobility is strongly promoted by the partners, with opportunities to move to other locations such as NAM, APAC, and other parts of Europe. Previous candidates have transitioned internally to roles in Quant Development, ML Development, and Tech Leadership in Data.
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