Jobs

    Data Engineer - London Area, United Kingdom - 83DATA

    83DATA
    83DATA London Area, United Kingdom

    1 week ago

    Default job background
    Technology / Internet
    Description

    Data Engineer/Scientist

    London (Hybrid)

    £50,000-£60,000 (+bens)

    83DATA are partnered with a leading Internet provider seeking the skills of a Data Engineer/Scientist. The successful candidate can expect to be tasked to connect data sources to pre-existing Azure data infrastructure. You will lead projects with a data centric approach, for this reason, a passion and aptitude for critical analysis of large and complex datasets is vital.

    Responsibilities:

    • Build data engineering pipelines to ingest, transform, store, and serve high quality data for Data Scientists
    • Writing and tuning complex data pipelines, workflows, and data structures.
    • Identify opportunities for increasing performance, minimising costs and increase platform monitoring.
    • Experience with components such as Azure Active Directory, Management Groups, Subscriptions, vNets, Route Tables, NSG's and Azure Firewalls.
    • Ensuring data security and maintaining quality assurance across all systems.
    • Promote a data driven culture, advocating for the use of data and analytics in decision making and process optimisation.
    • Using Predictive modelling solutions for current data and generating a model to help predict future outcomes.

    Requirements:

    • A Computer Science/Programming Degree.
    • Background of using data analysis tools and software (e.g., SQL, SAS, Python and R).
    • SQL – Advanced Proficiency
    • Experienced in Machine Learning and predictive modelling.
    • Background working with consultancy services.
    • Highly experienced with MS Azure cloud platforms. 3 years minimum.
    • Understanding of building resilient multi-site architectures.
    • Proven ability to develop and execute user retention strategies via CRM and product.
    • Experience of large complex data migrations
    • Proven experience in cost optimisation and performance efficiency
    • Proven experience in Data Science and/or Machine Learning including an understanding of fundamental technologies and processes involved in the research and development of data science models.

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