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    Senior Data Engineer - London, United Kingdom - Venturi

    Venturi
    Venturi London, United Kingdom

    Found in: Jooble UK O L C2 - 13 hours ago

    Venturi background
    Description


    Role - Azure Data EngineerRate - £600 per day insideHybrid working - 1 day a week onsite (Centre of London)Duration - Initial 6 monthsMy client is a large Financial services organisation based out of London and they are going through a huge data transformation that is expected to run for at least 18 months.

    My client is seeking experienced Azure Data Engineers for a stakeholder-facing project. This role will have particular emphasis on Azure, Databricks and DevOps.

    Our client is in the consultancy sector but does not have a preference for previous experience within a consultancy role.

    There is also a key element of delivery within the project, focusing on delivering technically but also ensuring the quality of delivery within a wider team of Data Engineers.

    The ideal candidate needs experience and confidence to speak up when several teams can be involved in delivering the project.

    There is a massive emphasis on Pyspark and Databricks for this particular role.


    Technical Skills Required:
    Azure (ADF, Functions, Blob Storage, Data Lake Storage, Azure Data Bricks)

    DatabricksSparkDelta LakeSQLPythonPySparkADLSDay To Day Responsibilities:

    Extensive experience in designing, developing, and managing end-to-end data pipelines, ETL (Extract, Transform, Load), and ELT (Extract, Load, Transform) solutions.

    Maintains a proactive approach to staying updated with emerging technologies and a strong desire to continuously learn and adapt to new tools, languages and methodologies in the ever-evolving field of data engineering and analytics.

    Possesses expert knowledge of the contemporary data engineering and analytics landscape, including current tools, pertinent approaches and likely challenges.

    A strong history of designing and constructing databases, analytics systems and Business Intelligence (BI) platforms within the context of Big Data.

    A demonstrable ability to mentor and coach junior data engineers, sharing knowledge and expertise to help them grow in their roles.

    The capability to collaborate efficiently with business stakeholders to understand their requirements and translate them into effective data solutions.
    Strong support for Continuous Integration/Continuous Deployment (CI/CD) practices and an understanding of agile working methodologies.
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