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    • Data and Analytics Engineer - Hampshire - Sataya

    Sataya
    Sataya Hampshire

    1 week ago

    Default job background
    Description

    Data and Analytics Engineer

    Data / Environmental / ESG / Sustainability

    Location : Hybrid into Hampshire region

    Must have full right to work within United Kingdom (no Sponsorship offered)

    Salary : up to £60k per annum depending on experience

    Degree / Hons / Masters in Science / Maths / Stats / Engineering

    Are you excited to solve real-world challenges in the environmental and decarb space? We're seeking a Data and Analytics Engineer who's ready to dive into innovative projects, analyse complex datasets, create simulation / digital twin models and algorithms, data lakes and many more while contributing to next-generation solutions.

    We are looking for someone who can work in a constantly changing, fast paced environment. They should be a problem solver at heart, likes to push the boundaries of innovation and be able to communicate complex concepts to anyone.

    This client is an ambitious, high-growth company that values creativity, collaboration, and innovation. You'll have the freedom to make a real impact while developing your skills in a supportive environment. From tailored benefits to team events, they ensure their culture is as dynamic as the work they do.

    What We're Looking For

    The ideal candidate will have a Honours / Masters or PhD in Engineering / Computer Science / Maths or equivalent and a passion for analytics. Here's what they value most:

    • Creative and analytical problem-solving abilities.
    • A strong understanding of how to manipulate and interpret data.
    • Familiarity with Python or similar programming languages (e.g., Pandas, PySpark).
    • Knowledge of databases or data lakes (e.g., PostgreSQL, Databricks).
    • Experience developing quantitative simulations of 'real-world' physical objects and scenarios.
    • Experience with Python or other equivalent scripting languages (Pandas, PySpark or similar).
    • Experience processing big data and working with databases (PostgreSQL or similar) or datalakes (Databricks or similar).
    • Interest in sustainability, the environment, decarbonisation and net zero.
    • Ability to present complex technical findings in a clear and engaging way.
    • Experience working on simulations or real-world physical modelling.
    • Confidence in working independently or as part of a small team
    • An understanding of statistical techniques.

    If you're excited about this opportunity, Apply Now We'll review applications on a rolling basis, but if you don't hear back from us within two weeks of submitting your application, please consider it unsuccessful for this role.

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