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    Senior Engineer, Data Engineering - London, United Kingdom - Durlston Partners

    Durlston Partners
    Durlston Partners London, United Kingdom

    Found in: Jooble UK O C2 - 6 days ago

    DURLSTON PARTNERS background
    Description

    Note:
    I have a plethora of live Data Engineering opportunities.

    A well established Quant Fund we are working with is looking to develop a new high frequency data platform to support the development and deployment of new strategies.

    The sort of work you would get exposure to includes: building greenfield market data processing systems that will handle very large amounts of market/exchange data, data lake development using AWS Glue, Apache Kafka/Airflow and dbt, and more traditional end-to-end Data Pipeline development.

    Lastly, part of this role would look at the onboarding and development of model data sets, working with Quant Researchers and traders to implement across stratagies.

    This is an engineering focused Data Engineering position, meaning candidates would be expected to be competent Python/Java programmers with a good knowledge of their respective language and writing production ready code that will be deployed on the cloud.

    :

    Development of end-to-end ETL Data Pipelines

    Architect and build Market Data processing systems that will deal with Tick Data, Order Book data and Trade Data.

    Working collaboratively with the wider data engineering function to develop a next generation data lake.
    Data Modelling of various datasets

    :

    Strong Java or Python skills - ability to write production ready code
    Experience deploying code to AWS utilising relevant tools.
    Previous experience with AWS Glue, dbt, Airflow and Dagster
    Excellent SQL skills
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