Data Engineer- Python/ SQL

1 week ago


London, Greater London, United Kingdom Oxford Knight Full time

One of the world's largest hedge funds, this is an excellent opportunity to join one of the most prestigious technology teams in systematic trading in a wide-ranging development role.

With a flat-structured, 'no-attitude' working environment, this is a great time to join as engineering is undergoing significant investment.


Looking for a highly motivated and experienced engineer to join the Risk Data team, this role offers the opportunity to expand your current skillset creating state-of-the-art tools for a range of data-related activities, including onboarding, analysis, sourcing, quality checking, and lifecycle management.


You'll collaborate with Risk Officers as well as analysts, quants and engineers, delivering risk solutions for specific engine/strategy requirements or for the whole company.

You'll also design and develop solutions to solve big data challenges (200 terabyte of data).


The majority of the company's systems run on Windows and most code is written in .NET (C#); their first data storage is in SQL Server, and they're starting to use ArcticDb for larger datasets.

But they're also constantly evaluating new technologies, tools and libraries.

NET)
Solid Windows platforms experience with various scripting languages, and exposure to Linux environments
Knowledge of modern practices for ETL, data engineering and stream processing
Degree with high mathematical and computing content - Computer Science, Mathematics, Engineering, Physics, etc. - Working knowledge of one or more database technologies, e.g. SQL Server

Prior experience of working with financial market data or alternative data
Relevant mathematical knowledge e.g. statistics, time-series analysis
Experience with Python, Kubernetes, S3 or Kafka

Competitive salary + generous bonuses
Extra perks including a personal development allowance and sponsorship
Central London office with a very smart, friendly tech team
Regular social events, plus annual company trips and team offsites

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