Qonto
Qonto
501 – 1,000 कर्मचारी
B2Bफिनटेकबैंकिंग
Qonto एक यूरोपीय फिनटेक कंपनी है, जो छोटे और मध्यम आकार के व्यवसायों तथा फ्रीलांसरों को एक एकीकृत कारोबारी वित्तीय प्लेटफ़ॉर्म प्रदान करती है। इसके उत्पाद रोज़मर्रा की बैंकिंग, कारोबारी वित्तपोषण, बहीखाता और खर्च प्रबंधन को एक साथ लाकर वित्तीय संचालन को सरल बनाते हैं। Qonto की स्थापना 2017 में Alexandre Prot और Steve Anavi ने की थी। यह 300,000 से अधिक कंपनियों को सेवाएँ देती है और इसकी टीम में लगभग 900 कर्मचारी हैं। Qonto में काम करने से बढ़ते व्यवसायों की व्यावहारिक ज़रूरतों के लिए बनाए गए B2B वित्तीय सेवा उत्पाद में योगदान देने का अवसर मिलता है।

Data Engineering Intern in Paris (Hybrid)

Join Qonto’s data team in Paris to build pipelines, internal tools, and a complete data exploration project using Python, SQL, and AI tools.

विवरण

  • Develop and support batch and real-time pipelines across Qonto’s platform
  • Bring data from internal and external sources into the central warehouse
  • Create web interfaces that help internal teams use data more effectively
  • Improve platform reliability through automation and data tooling
  • Lead an exploration project from initial investigation through team presentation
  • Collaborate with the Lead Data Engineer while receiving daily guidance from a Senior Data Engineer

आवश्यकताएँ

  • Write clean, maintainable Python and organize code within a structured project
  • Understand data modeling concepts, including tables, schemas, and SQL
  • Be a final-year M2 student pursuing a Master’s degree in Data Engineering, Data Science, or Software Engineering
  • Use AI tools as part of your daily workflow
  • Communicate clearly and collaborate effectively with stakeholders across teams

लाभ

  • Hybrid work arrangement with up to two remote days each week
  • Gympass membership providing access to more than 3,000 sports and wellness partners
  • Lunch card with 50% of the cost covered
  • 50% reimbursement of the public transportation pass
  • Team gatherings, snacks, and beverages
  • One paid day off each month
  • Inclusive and supportive workplace
  • Unlimited access to AI tools, including Claude Code
  • Daily practical mentorship from a Senior Data Engineer
  • Responsibility for an end-to-end exploration project
  • Modern technology stack built for AI-native workflows

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