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  • Lead Data Engineer - Firenze - Luisaviaroma

    Luisaviaroma
    Luisaviaroma Firenze

    3 settimane fa

    Default job background
    Descrizione

    Job Description

    Luisa Via Roma is a leading global luxury goods e-commerce platform with an extensive online presence spanning over two decades, catering to upwards of 1 million users from more than 200 countries.

    Our team is international, comprising over 300 people from 20 different countries. We continually strive for innovation through our services, platforms, website, and app, while also prioritizing giving back to the community and the planet by supporting charities and environmental causes.

    Through LVRSustainable – our dedicated section focused on sustainability – we promote conscious fashion and collaborate with non-profits, organizations, and brands to drive positive impact on social and low-impact initiatives.

    Lead Data Engineer

    As a Lead Data Engineer, you will be responsible for designing, implementing, and maintaining a cutting-edge data platform, ensuring data governance, and ultimately empowering advanced analytics capabilities and data science models.

    We seek a forward-thinking individual who possesses a deep understanding of the structure and development of a data engineering team, as well as the ability to effectively split time between team management and individual contribution.

    We are looking for a candidate who consistently updates their knowledge base with the evolving tools and technologies within this domain and demonstrates a comprehensive understanding of structuring and fostering a data engineering team.

    Requirements

    To be considered for this role, candidates must possess:

    • 6 years of professional experience as a Data Engineer
    • 1 year of experience managing Data Engineers
    • Experience with ETL tools, such as Talend
    • Hands-on experience with relational databases and cloud databases, particularly Redshift
    • Proficiency in at least one of the following languages: Python, Spark, Java
    • Strong interpersonal and communication skills in Italian and proficiency in English language
    • Experience in Data Architecture: Cloud Architecture, Data & Solution Architecture, API, Amazon Web Services

    The ideal candidate will also have:

    • Experience with AWS Glue or dbt
    • Web API integrations
    • Knowledge of Google Cloud Queuing systems (RabbitMQ, Kafka)
    • Customer Data Platforms (Segment)

    What We Offer

    Successful candidates can expect:

    • Full-time employment with a commercial contract
    • A Monday to Friday work week
    • Optimal work-life balance
    • Job rotation, conventions, and employee discounts

    Florence


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Florence