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  • Data Engineer (Senior)
    Data

    Data Engineer (Senior)

    6 133 - 6 542 USDNet/month - B2B
    Type of work
    Full-time
    Experience
    Senior
    Employment Type
    B2B
    Operating mode
    Remote
    Avenga

    Avenga

    We are a team of IT and digital transformation experts. Strategic consulting, customer experience service, software development, and outsourcing of top-class IT specialists is what we do (and more!).

    Company profile

    Tech stack

      Azure

      advanced

      Power BI

      regular

      SQL

      nice to have

    Job description

    Online interview
    • 100% remote work permitted – required to visit the Wrocław office approximately once every 10 weeks (for planning purposes).
    • 3 teams available – choose the one that best suits your interests.


    Business context:

     

    VCE Sales & Finance Analytics team is looking for Data Engineer. We process financial and sales data to provide data products to our customers around the World. Our mission is to expose value of data and support client to become fully operational data driven company.

     

    What we are doing?

    1. We build common data platform. One of the main goals is to migrate and re-design solutions from On-premises platform to the cloud in Azure.
    2. We provide interactive reports for customers to help them achieve their goals. 
    3. We focus a lot on data ingestion & replication to our common and shared platform in cloud.
    4. We aim to standardize our tools and reporting layer, so that we re-build current BI solutions from i.e SAP platform to Azure.
    5. We develop data pipelines between vary applications i.e., Azure, SAP, Salesforce, Oracle, MS Dynamics 365.


    1. Team: VCE Connected Services

    Competences and skills required:

    • Databricks (workflows, notebooks, Python, Spark)
    • Advanced SQL
    • DevOps - pipelines, repos
    • Azure Data Factory
    • Azure key vault, 
    • Event hub, 
    • IoT hub, 
    • Power BI to process data in streaming mode


    2. Team: VCE Product & Machine Lifecycle

    Competences and skills required:

    • Databricks (workflows, notebooks, Python, Spark)
    • Advanced SQL
    • DevOps - pipelines, repos
    • Azure Data Factory
    • Azure key vault, 
    • Power BI


    3. Team: VCE Parts & Logistics

    List of tech-competences necessary for supporting SPRING:

    • Advanced SQL
    • Experience in developing BI systems
    • Azure Data Factory
    • Databricks
    • Power BI 


    Soft Skills:

    • Good communication skills in English 
    • Drives initiatives , Self-organized 
    • Responsible, Self-motivated 
    • Efficient working by themselves or with a team , Adaptable 
    • Has some work experience with scrum – nice to have 

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