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Market Data Engineer (Python, SQL) HPC Data Pipelines, High Freq. Trading - Sydney

Westbury Partners Sydney, Australia
Posted 1 day ago Hybrid Job Permanent Very competitive remuneration + large bonus
Be responsible for the acquisition, verification, and optimization of real-time market data for a leading prop-trading firm.

 

  • Design, build & enhance high-performance computing, market data pipelines.
  • Key skills/domains: Data, Python, SQL, Linux, Networking, HPC Data Pipelines.
  • ‘Technology First’ environment & culture. Competitive salary + bonus.

Company
Our client is a leading, global trading firm with a commitment to world class technology and innovation and therefore have need of the best possible talent. In keeping with this, they're interested in well-educated engineers across key areas such as maths, physics, and computer science, with a track record of excellence academically and commercially. They operate across a range of markets globally through a range of products – from derivatives through to physicals. They offer exceptionally unique employment arrangements and have attracted some of the best technologists from other trading firms locally and across the globe. 

Team
This team of elite engineers and analysts work with traders, back-office teams, infrastructure/technology specialists, and software developers to deliver market data and analytics curated for mission-critical business initiatives. This data is used firm-wide to generate revenue and monetize the firm’s ongoing technology investment.

Requirements:

  • Fluency in Python development, with 3 – 5 years+ experience.
  • Strong financial data pipeline engineering exp./skills (SQL).
  • Experience building/maintaining high-performance computing (HPC) pipelines.
  • An understanding of the Linux OS and filesystems, incl. network & system configuration, kernel internals, scheduling, performance tuning.
  • An understanding of networking concepts: routing, multicast, LLDP, ethernet.
  • Polished Communication and Interpersonal skills along with a can-do attitude.
  • Bachelor’s, master’s or PhD level degree in computer science or mathematics.
  • A history of good tenure in your career history (e.g., 4+ years average).
  • Industry experience: banking, financial markets, proprietary / high frequency trading. 

This role would be ideal for a Python centric data engineer/analyst with experience building high-performance computing (HPC) data pipelines for big banks, hedge funds and/or trading firms.

#Data Engineer #Python #HPC #High-Performance Computing #Linux #Market Data #Networking 
#Stability #Performance #Ultra Low-Latency #Banking #Trading Systems #Data Pipelines

Job ID  7090
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