Data Engineer (Remote)

Our mission is to create the most amazing banking experience for SMEs through technology, elegant design, and an outstanding sense of customer care. At Qonto, we believe that great services come from great thinkers, that’s why we strive to provide an environment that will allow you to feel comfortable and help you excel in your work (read more about our method).

Alexandre and Steve launched Qonto in July 2017, and the team reached great achievements since then:

• Market leader for online SME banking in Europe 🏦
• 75,000 SME clients 🏢
• Outstanding customer satisfaction (App Store | Google Play | TrustPilot) 👍
• Recognized as one of the best startups to work at (Wired | LinkedIn) 🤩
• €136 million raised 💰
• International investors with a solid fintech experience 💵
• And 200+ happy Qontoers helping us building the bank of our dreams (just that!) ☁️

Our values:

• Ambition | We tackle big challenges no matter what
• Teamwork | We create magic by collaborating at the same speed
• Mastery | We pursue excellence through continuous learning and by facing challenges humbly every day
• Integrity | We are transparent and trustworthy with our clients and each other

Since the recent fundraising, Qonto significantly raised its ambition in terms of data. This resulted in the creation of a Data Department, handling Data Analysis, Engineering and Science, under a newly hired VP Data. The data department grew from 5 to 11 people in 6 months (and we're still hiring)!

Data Engineering will be at the cornerstone of our data strategy. As a Data Engineer, you will join a team of 3 talented people and bring your expertise to allow Qonto to meet its ambitious goals. The stack is efficient but still young: you will really be able to shape it with the team.

🚧Examples of projects to come

• Implementation of proper dependency management / lineage for the nightly ingestion and processing ( and simplification to make the analytics team autonomous)
• Improvement of our GDPR architecture
• Providing tooling to automate regulatory reporting extracts, put in place real-time (or pseudo real-time), build graph visualization tools to better understand fraud patterns…

👩‍💻🧑‍💻As a Data Engineer at Qonto, you will

• Develop and maintain pipelines & features: You will build or improve the current data engineering stack, be it pipelines or features, and maintain them
• Make technical choices: At Qonto we push team members to make architectural decisions (and not only the manager)
• Support teams to use your tools: Data engineering is not just about pipelines. You will need to train your colleagues on the tooling and features that you developed for them

🏅About You

• Experience: You have 4+ years of experience in Data Engineering
• Mastery: You have knowledge in Data Engineering ecosystem concepts and technologies (Python, AWS, Airflow, Kafka or similar technologies)
• Problem Solver: You know how to overcome challenges with solutions that scale, without over-engineering.
• Vision: You know how to take a step back and think about the bigger picture. You are able to then challenge the needs without creating friction.
• Team Player: You have good communication skills and know how to interact with non-technical colleagues
• Languages: You speak English, French is a strong plus