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    Data Engineer - Coventry, United Kingdom - Jaguar Land Rover

    Jaguar Land Rover
    Jaguar Land Rover Coventry, United Kingdom

    2 weeks ago

    Default job background
    Description
    Coventry

    Beyond Property, Purchasing, HR and IT, more than being part of our Finance or Marketing teams, beyond even Sales and Service, every role in every business area offers unique opportunities to make an impact on the future of mobility and the automotive industry.

    WHAT TO EXPECT

    We are looking for outstanding problem solvers who are inquisitive and excellent with technology. They will be executing data analytics projects that are varied in nature and demand a wide spectrum of skills from data manipulation and integration through to cloud solution deployment.

    We are building robust in-house analytics solutions to handle the integration, modelling, prediction and inference of customer quality issues, utilising the best-in-class data analytics and machine learning tools and methods. This will enable rapid, clear problem detection and enhanced customer experiences.

    WHAT YOU'LL NEED

    The role will require working within analytics project teams and with a wide range of functional business partners to develop sophisticated data pipelines. They'll need to have experience with coding and software development and be capable of working through complex problems with others from the team.

    They will need to love working with data and to be detail-orientated and methodical. Whilst existing knowledge of numerous analytics and software tools is not a prerequisite, self-motivation to learn and an ambition to become an expert in applying such technologies is essential.

    Knowledge, Skills & experience

    Essential:

    • Experience in programming languages such as Python or similar (R, C#, Java).

    • Experience using Linux/Unix operating system, open-source toolsets and build/configuration/change control.

    • Experience developing, implementing, maintaining and orchestrating data pipelines (SQL, Python, etc).

    • Experience with Cloud-based platforms (GCP, AWS or similar), Cloud-based services and corresponding toolsets.

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