Staff Data Engineer

hace 2 días


Barcelona, España Qonto A tiempo completo

Our mission? Creating the freedom for SMEs to succeed in business and beyond, by delivering Europe’s leading finance workspace. We combine business-class tools (seamless invoicing, spend management, and pre-accounting) with unwaveringly attentive 24/7 support, designed to help businesses breeze through all things finance. Our journey: Founded by Alexandre and Steve in July 2017, Qonto has rapidly gained trust, serving over 600,000 customers. Thanks to our wonderful team of 1,600+ Qontoers, we also made it to the LinkedIn Top Companies French ranking Our values: Customer focus | Prioritize customers in everything you do Ownership | Own your part, get things done Teamwork | Make (team)work easy Mastery | Continuously raise the bar Integrity | Always do what’s right, and respect people Our beliefs: At Qonto, we're committed to fostering a welcoming environment where everyone can thrive. We prioritize evaluating applicants based solely on skills and potential, ensuring diversity with 55% international team members, 44% women, and 20% parents. Join us in building a workplace that celebrates diversity and individuality. Discover the steps we took to create a discrimination-free hiring process. ⭐ Mission: As a Staff Data Engineer, your mission is to architect and implement scalable data platform tools that support AI product development, enabling our teams to deploy and operate AI models effectively. You will act as the technical bridge between AI Product teams and Platform Engineering, playing a central role in Qonto’s strategy to integrate AI across business areas and improve customer experience for our 400,000+ clients. As a Staff Data Engineer at Qonto, you will: Bridge & Translate: Act as the technical bridge between ML product teams and platform engineering, translating ML requirements into scalable platform features. Design Architecture: Lead the design of cross-functional data architecture, ensuring consistency, scalability, and reliability across reporting analytics, and ML use cases. Partner with engineering leadership to establish platform standards, governance frameworks, and best practices. Optimize Infrastructure: Manage and maintain the data platform (Snowflake, orchestration) with a focus on reliability, performance, and cost. Drive Quality: Ensure platform documentation is up-to-date and establish robust data quality KPIs and monitoring within your first 9 months. What you can expect: Strategic Context: You will join a rapidly growing environment where AI is becoming increasingly strategic, requiring robust infrastructure in a regulated financial context. Methodologies: We balance short-term delivery for AI product teams with long-term platform evolution, designing tools almost from scratch. Team: You will work in a team of experienced Senior and Staff engineers with high autonomy, influencing a tech organization of 500+ engineers. Tools: We work with Python, Java, Kubernetes, Snowflake, and modern ML platform tools (e.g., MLflow, Kubeflow, SageMaker). Impact: You will directly contribute to raising the overall AI maturity of Qonto, enabling us to serve our customers better through intelligent automation.


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