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Vivo Talent

Analytics Engineer

Vivo Talent Kingston upon Thames
32 - 40 hour


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    Vivo Talent

    Analytics Engineer

    Vivo Talent Kingston upon Thames
    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
    permanent

    Job description

    Analytics Engineer / Microsoft Fabric / Python / AI / Data / Permanent / Kingston-Upon-Thames / Hybrid

    We're partnering with an ambitious and data-driven business that is investing heavily in its analytics capability and Microsoft Fabric platform. As part of this growth, we're looking for an Analytics Engineer to help shape the future of the company's data ecosystem.

    This is not a traditional Data Engineering role. Instead, we're seeking someone who enjoys working at the intersection of data, analytics and business value - building scalable solutions while ensuring data is accessible, meaningful and actionable for stakeholders across the organisation.

    One of the most exciting aspects of this opportunity is the organisation's commitment to AI-enabled development. AI isn't viewed as a future initiative; it's already embedded in the way teams work.

    What you'll be doing

    You'll play a central role in developing and enhancing the Microsoft Fabric platform, delivering solutions that support key business functions across digital, commercial and operational teams.

    Key projects include:

    Building and optimising data ingestion pipelines
    Website and digital marketing analytics
    Returns and performance reporting
    Continuous enhancement of the wider analytics platform
    You'll also help design intuitive semantic models, improve data usability for business users and ensure data structures support natural-language AI search and reporting.

    What we're looking for

    Strong Python development experience
    Commercial experience with Microsoft Fabric
    Power BI, Semantic Models and DAX expertise
    Data modelling and pipeline development skills
    Git/version control experience
    Strong stakeholder engagement and communication skills
    Experience with dashboard development and AI-assisted development tools would be a significant advantage.
    If you're excited by the idea of building modern analytics solutions in an environment where AI is a genuine productivity multiplier, you'll fit right in.

    Analytics Engineer / Microsoft Fabric / Python / AI / Data / Permanent / Kingston-Upon-Thames / Hybrid

    Analytics Engineer / Microsoft Fabric / Python / AI / Data / Permanent / Kingston-Upon-Thames / Hybrid

    Analytics Engineer / Microsoft Fabric / Python / AI / Data / Permanent / Kingston-Upon-Thames / Hybrid
    Apply now

    Apply on the employer's website

    Apply now

    Apply on the employer's website


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