Qonto
Qonto
501 – 1,000 Employees
B2BBankingFintech
Qonto is a European fintech company serving small and medium-sized businesses and freelancers with an integrated business finance platform. Its products bring together everyday banking, business financing, bookkeeping, and spend management to simplify financial operations. Founded in 2017 by Alexandre Prot and Steve Anavi, Qonto supports more than 300,000 companies and has a team of around 900 employees. Hiring at Qonto offers the opportunity to contribute to a B2B financial services product designed for the practical needs of growing businesses.

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.

Description

  • 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

Requirements

  • 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

Benefits

  • 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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