The ClientOne 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 RoleLooking for an experienced engineer to join the Data Engineering team. You\’ll collaborate with the Data Science team, delivering unique solutions to solve their big data challenges. You\’ll also design & implement strategies and tools to monitor & validate data quality for thousands of datasets in use across the firm.Their core systems almost all run on Linux and most code is in Python, including extensive use of numpy, scipy, pandas, scikit-learn, etc. Systems that require the highest data throughput are implemented in Java, and they use Dataiku, Snowflake, Prometheus, and ArcticDB heavily. New tools and libraries are constantly assessed, meaning you can shape the technology landscape and make an impact early on.RequirementsExpert programming experience (ideally in Python)Understanding of the challenges of dealing with large datasets (structured and unstructured)Solid Linux platforms experience with various scripting languagesKnowledge of modern practices for ETL, data engineering and stream processingDegree with high mathematical and computing content – Computer Science, Mathematics, Engineering, Physics, etc. – from a top-tier universityWorking knowledge of at least one database technology, e.g. MongoDB, PostgreSQL, Snowflake, OracleNice to haveProficient with a range of open-source frameworks and development tools e.g. NumPy /Pandas, Spark, Apache KafkaPrevious experience of working with financial market data, especially tick dataExperience with AWSBenefitsCompetitive salary + generous bonusesExtra perks including a personal development allowance and sponsorshipCentral London office with a very smart, friendly tech teamFlat-structured, transparent and collaborative environment, \’no-attitude\’ cultureRegular social events, plus annual company trips and team offsitesContactTo apply for this role, or for further information, please contact:Maia Ellismaia.ellis@oxfordknight.co.uk020 3745 6539linkedin.com/in/maia-ellis-38a577193 #J-18808-Ljbffr
Software Engineer - Data- Tech-Driven Global Hedge Fund employer: Job Traffic
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