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    C# Data Engineer - London, United Kingdom - Oxford Knight

    Oxford Knight
    Oxford Knight London, United Kingdom

    2 weeks ago

    Default job background
    Full time
    Description
    The Client

    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.

    The Role

    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.

    Requirements
    • Expert programming experience (ideally in .NET)
    • Understanding of the challenges of dealing with large datasets (structured and unstructured)
    • 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. - from a top-tier university
    • Working knowledge of one or more database technologies, e.g. SQL Server

    Nice to have
    • 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

    Benefits
    • Competitive salary + generous bonuses
    • Extra perks including a personal development allowance and sponsorship
    • Central London office with a very smart, friendly tech team
    • Flat-structured, transparent and collaborative environment, 'no-attitude' culture
    • Regular social events, plus annual company trips and team offsites

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