Data Engineer

    0
    • Full Time
    • London

    Website Cambridge Quantum Computing

    Location: London

    As part of our mission to expand our world-class team and our pioneering work in the quantum industry Cambridge Quantum Computing’s Machine Learning (ML) team is searching for a Data Engineer.

     

    In this role, you will help to streamline the data preparation for the training and the deployment of ML models for real-time financial forecasting. You would be developing and maintaining a bespoke data acquisition and processing pipeline that serves both the ML development and the live production system, as well as working on the data preparation stage for crafting new ML trading strategies.

     

    The successful candidate will join the London Victoria office and will be working in a highly dynamic, development-focused group, alongside software engineers and machine learning scientists.

     

    Responsibilities

    • Integrate new data sources in live and backtesting systems.
    • Maintain and replenish the central repository of tick data.
    • Maintain and verify both backtesting and live Extraction Transformation and Loading (ETL) pipelines.
    • Preparing datasets according to the scientists’ specs to train ML models.
    • Maintain custom scientific data processing software, ensuring scalability and best practices.

     

    Key requirements

    • A degree in Software Engineering, Computer Science or associated quantitative discipline (Math, Physics, Computational Statistics, Machine Learning) / or demonstrable work experience.
    • Proficient in Python 3
    • Knowledge of C++ and Linux OS along with its scripting methods
    • Experience with development and deployment of ETL pipelines and ML algorithms in training and production environments, experienced in a commercial or research environment.
    • Knowledge of unit and integration testing
    • Familiar with Continuous Integration and AGILE development
    • Familiar with modern ETL systems, e.g. Apache Kafka/Confluent.

    Desirable skills

    • Familiar with financial data of considerable size (Terabyte sized)
    • Knowledge of SQL (PostgreSQL or MySQL)
    • Knowledge of developing, deploying, and maintaining microservices and APIs using Flask or NodeJS
    • Familiar with Google Cloud Platform or Microsoft Azure and its data processing and ML stacks.

    What is in it for you?

    We offer an amazing opportunity to join a world-leading quantum computing company. You will be working alongside a highly talented team, with world-leading names in the quantum computing industry. We offer a highly competitive package, which includes 28 days holiday plus bank holidays, a workplace pension and we have a positive approach to flexible working.

     

    About Us:

    Established in 2014, Cambridge Quantum Computing (CQC) is a world leading independent quantum computing software company. CQC design solutions that benefit from quantum computing even in its earliest forms and allow the most effective access to these solutions for the widest variety of corporate and government users.

     

    CQC combines expertise in the product areas of quantum software, specifically a quantum compiler t|ket⟩, enterprise applications in the area of quantum chemistry, quantum machine learning (“QML”), and quantum encryption.

     

    The successful applicant will join one of the most exciting young companies in the world with the potential to dominate innovation across all aspects of the economy and society.

     

    Applicants should send a CV with a cover note to careers@cambridgequantum.com

     

     

    Please note that employment at CQC is subject to successfully passing our pre-employment screening checks.

     

     

    To apply for this job email your details to hazel.fay@cambridgequantum.com