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    Data Engineer - United Kingdom - ID Register

    ID Register
    ID Register United Kingdom

    1 week ago

    Default job background
    Description

    We are seeking a highly skilled and experienced professional to join our data team as a Data Engineer and Data Scientist. This role will focus on collecting, processing, and analysing data to drive actionable insights for our organisation.

    Location:
    aml,kyc,MLRO,money laundering,SA orUK

    We are seeking a highly skilled and experienced professional to join our data team as a Data Engineer and Data Scientist. This role will focus on collecting, processing, and analysing data to drive actionable insights for our organisation. The ideal candidate will have a strong background in data engineering and data science, along with the ability to work with large datasets, develop machine learning models, and contribute to data-driven decision-making.

    Qualifications & Experience

    • Bachelor's or higher degree in a relevant field such as Computer Science, Data Science, or Engineering.
    • Relevant experience in data engineering and data science roles.
    • Strong programming skills in languages such as Python, SQL, and proficiency with data manipulation libraries (e.g., pandas).
    • Experience with distributed computing frameworks (e.g., Hadoop, Spark) and data processing tools.
    • Proficiency with data storage and data warehousing technologies (e.g., SQL databases, NoSQL databases, data lakes).
    • Strong knowledge of ETL processes, data integration, and data transformation.
    • Experience with machine learning libraries and frameworks (e.g., scikit-learn, TensorFlow, PyTorch, Azure).

    Responsibilities

    • Design and develop data pipelines, ETL processes, and data integration solutions.
    • Maintain and optimise data infrastructure, databases, and data warehousing systems.
    • Ensure data quality, reliability, and consistency.
    • Collaborate with other teams to understand data requirements and implement data solutions.
    • Utilise machine learning and statistical techniques to analyse large datasets.
    • Develop and deploy predictive models for various business applications.
    • Create data visualisations and reports to communicate findings and insights.
    • Collaborate with domain experts to identify data-driven opportunities and solutions.
    • Evaluate and incorporate emerging data science tools and techniques.
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