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    Senior Engineer, Data Engineering - London, United Kingdom - Immersum

    Immersum
    Immersum London, United Kingdom

    1 week ago

    Default job background
    Description

    Data EngineerLocation:
    London, 3 days per week in the officeSalary range: £50,000-£70,000 + benefitsPurpose: Design, build, and maintain scalable data architectures, including pipelines andcloud-based data warehouses


    Tech:

    Python (NumPy, Pandas), SQL, ETL, Cloud (AWS, Azure or GCP), Snowflake, Airflow, BigQuery, PowerBI/TableauIndustry: Fintech, Maritime tradingImmersum are supporting the growth of a specialist consultancy who solely specialise in the Maritime trading industry.

    You will work onsite with 1 specific client to design, build and maintain scalable data architectures working with key stakeholders in their business to shape their data-driven strategies.


    The Company:
    They have a long history providing IT services to the Maritime industry and are looking to provide its Data Insights services to key business partners who require Data Engineering expertise to support data management activities

    The Role:
    The successful candidate will work on all aspects of our client's data architecture, collection, pipelining, governance, and security. This extends to machine learning deployments, financial benchmark production, and internal auditing of data quality and integrity.

    The

    Tech:

    Python:
    Strong proficiency, including experience with libraries like Pandas and NumPy

    SQL:
    Advanced skills in complex querying and data manipulation

    Data Modelling:
    Proven ability in designing efficient models for scalability and performance

    ETL Processes:
    Deep expertise in developing and optimising ETL pipelines

    Version Control:
    Experience with Git for code collaboration and change tracking

    Data Pipeline Tools:
    Proficiency with tools such as Apache Airflow

    Cloud Platforms:
    Familiarity with AWS, Azure, Snowflake, and GCP

    Visualisation:

    Tableau or PowerBIDelivery Tools:
    Familiarity with agile backlogs, code repositories, automated builds, testing, and releases.
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