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  • Data Engineer
    New
    Data

    Data Engineer

    4 734 - 7 848 USDNet/month - B2B
    Type of work
    Full-time
    Experience
    Senior
    Employment Type
    B2B
    Operating mode
    Hybrid

    Tech stack

      PySpark

      advanced

      SQL

      advanced

      Python

      advanced

      Databricks

      nice to have

    Job description

    Online interview
    Friendly offer
    offer-banner

    Why choose this offer?

    👉 You can expect a flexible work organization

    👉 The international work environment will give you the opportunity to interact with the English language on a daily basis

    👉 The Jit community will bring you a nice time during regular integration meetings

     

    Project

    📌 We're looking for experienced Data Engineer to join our client's dynamic team and together help organizations improve customer engagement by leveraging customer data effectively. This indicates a strong focus on personalization and automation in marketing. The aim is to lead companies through digital transformation by integrating advanced technologies like AI, CDPs, and analytics platforms, improving both data management and decision-making processes.

     

    Expected competences and knowledge 💪

    • Proficient in writing complex queries and managing large datasets using SQL
    • Hands-on experience with Python language
    • Able to design and optimize SQL queries for efficient data retrieval and manipulation
    • Knowledge of processing large-scale data using tools like PySpark 
    • Knowledge of Databricks will be considered an advantage

     

    Client – why choose this particular client from the Jit portfolio? 🤝

    The client is a consultancy firm specializing in marketing transformation and digital media, focused on helping businesses make data-driven decisions through expertise in Customer Data Platforms (CDPs), data management, and marketing automation. They position themselves as experts in delivering technology solutions that enable personalized customer engagement. By integrating AI, advanced analytics, and automation, they guide organizations through digital transformation, optimizing both data management and decision-making. Their approach streamlines marketing operations, enhances efficiency, and maximizes ROI, all while improving customer experiences through cross-channel engagement and data-driven personalization.


     

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