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Reed Technology

Data Engineer

Reed Technology Newcastle upon Tyne
32 - 40 hour


Show Recently closed jobs

    Reed Technology

    Data Engineer

    Reed Technology Newcastle upon Tyne
    32 - 40 hour
    Status Open
    Apply now

    Apply on the employer's website


    What we ask

    Education

    No minimum education required

    What we offer

    Hours
    32 to 40 hours per week
    Employment type
    contract

    Job description

    Location: Newcastle upon Tyne (primarily remote, occasional travel)
    Contract Type: Contract (Outside IR35)
    Day Rate: Up to £800 per day

    The Opportunity

    We're partnering with a highly respected Software business to find an experienced Data Engineer to support a major client engagement. This is a hands-on, client-facing role where you'll play a key part in shaping and delivering modern data platforms and pipelines.

    You'll work closely with stakeholders to unlock the value of data, building scalable solutions that support analytics, reporting, and advanced use cases such as machine learning.

    Role responsibilities:

    Lead the design and delivery of robust, scalable data platforms and pipelines
    Work alongside client teams to understand requirements and translate them into effective technical solutions
    Build and optimise data ingestion, transformation, and storage processes
    Develop integrated data models to enable reporting, analytics, and AI use cases
    Provide technical leadership and guidance to engineers within the delivery team
    Contribute to architectural decisions and best practices across the project lifecycleKey Skills & Experience we're looking for:

    Strong background in data engineering and software development
    Proven experience working with Databricks (essential)
    Hands-on expertise with tools such as Python, PySpark, Spark, and SQL
    Experience building and maintaining data pipelines and data platforms
    Solid understanding of data modelling and data architecture principles
    Experience working with cloud platforms (AWS, Azure, or GCP)
    Comfortable working in client-facing environmentsWhy Apply?

    Great flexible working arrangement
    Opportunity to work on complex, high-impact data projects
    Collaborative, engineering-led culture with a focus on quality
    Apply now

    Apply on the employer's website

    Apply now

    Apply on the employer's website


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