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    Senior Data Engineer - London, United Kingdom - Venturi

    Venturi
    Venturi London, United Kingdom

    Found in: Appcast UK C C2 - 17 hours ago

    Venturi background
    Accounting / Finance
    Description

    Role - Azure Data Engineer

    Rate - £600 per day inside

    Hybrid working - 1 day a week onsite (Centre of London)

    Duration - Initial 6 months

    My 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)
    • Databricks
    • Spark
    • Delta Lake
    • SQL
    • Python
    • PySpark
    • ADLS

    Day 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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