Our mission? Making day-to-day banking easier for SMEs and freelancers thanks to an online business account that's combined with invoicing, bookkeeping and spend management tools. Thanks to its innovative product, highly reactive 24/7 customer support and clear pricing, Qonto has become the leader in its market.
Our journey: Founded by
Alexandre and
Steve in July 2017, Qonto has rapidly gained trust, serving over 500,000 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 50% international team members, 44% women, and 20% parents. Join us in building a workplace that celebrates diversity and individuality.
To follow Qonto's ambition in terms of data we created the Data Department, handling Data Analysis, Engineering, and Science.
The data department has grown from 5 to 50 people in three years (and we're still hiring)!
Data Engineering is the cornerstone of our data strategy.
As a SRE Data in the Data Engineering team, you will join a team of 5 talented people and bring your expertise to allow Qonto to meet its ambitious goals.
We want to create a data platform that serves the entire enterprise, transforming data from fragmented sources into a centralized, real-time, and governed streaming ecosystem that supports both product features and critical business operations.
👩💻🧑💻As a SRE Data at Qonto, you will :
- Be the referent on the team's infrastructure subjects to build a more resilient data infrastructure
- Create self-service data tools and infrastructure with high levels of automation
- Take ownership of key DevOps areas such as standardizing alerting and observability
- Have a structured reflection on the choices we make and why we make them
- Help the team to establish a production-ready streaming ecosystem (likely with Apache Flink)
- Make technical choices : at Qonto, technical decisions are made by technical expertise, not by position or level
- Continuously evaluate and improve system performance, reliability, and scalability
Your Toolkit (or team’s toolkit) :
- Cloud services: AWS, EKS
- Data Warehouse : Snowflake
- Orchestration and pipelines : Airflow, Airbyte
- Container technology: Kubernetes, Docker
- CI/CD: GitLab CI & ArgoCD
- Monitoring: Metrics with Prometheus & Thanos
- DB and messaging: AWS RDS PostgreSQL, SQS, Redis, and Kafka
- Programming language: Go & Python
- Infrastructure as Code: Terraform
🚀 What you can expect
- Join Qonto who is winning SME banking in Europe. Qonto is on track to power one million SMEs in 2025
- Qonto is highly data-driven with modern and "state of the art" data tools
- Work within a team that not only possesses great technical knowledge but also come from various backgrounds, bringing a rich diversity of skills to the table
- The ability to give feedback and propose new tools
- Leverage our values and culture of continuous improvement to amplify your impact. We foster a strong culture of knowledge-sharing practices.
- Our data teams are part of our Tech team, granting us easy access to our infrastructures while also supporting teamwork
🤝 Your Future Manager
Your Future Manager will be
Victor Cumer, Data Engineering Manager.
His background?
After his experience with Veepee where he managed the Data Platform team, Victor joined Qonto in october 2024 to bring his expertise to the data engineering team !
What does he bring to the team?
Victor has experience in various data roles (science, analysis, governance, engineering). He is an hands-on manager with a strong data culture and experience with various data architectures. As the former head of Data Platform at Veepee, he is influenced by Platform Engineering principles and is at ease with the approaches to provide related infrastructure and tooling services.
🏅About You
Expertise: You have a data engineer/data platform background and an expertise as a SRE/Devops in tech companies
Mastery: You deeply understand Infrastructure’s issues and are proficient in at least one programming language (i.e: Go, Python). You know devops philosophy (monitoring, automation..) and have experience with Terraform and containers technologies like Kubernetes.
Communication: You have good communication skills and you know how to work with a team
Best Practices: You strive to promote best practices : continuous integration, testing, automated / continuous deployment and code patterns.
Make an impact: You want to build a product that is used by thousands of companies, in a fast-growing environment
Language: You are fluent in English
At Qonto we understand that true diversity isn't just about ticking boxes on a hiring checklist. Apply regardless of the boxes you tick! Who knows? You may have the missing piece of the puzzle we've been searching for all along.
🎁 Perks
A tailor-made and dynamic career track. An inclusive work environment. And so much more to help you succeed.
- Offices in Paris, Berlin, Milan, Barcelona, and Belgrade;
- Tailor-made remote work policy depending on the job you apply for and where you live;
- Competitive salary package;
- A meal voucher;
- Public transportation reimbursement (part or global);
- A great health insurance (depending on the country);
- Employee well-being initiatives: access to
Moka Care to take care of your mental health and great offers for sports and wellness activities;
- A progressive disability and
parenthood policy (1 in 6 of Qonto employees is a parent!) and childcare benefits with selected partners;
- Monthly team events.
💪 Our hiring process:
- Interviews with your Talent Acquisition Manager and future managers
- A remote exercise to demonstrate your skills and give you a taste of what working at Qonto could be like
We will send you an interview guide so you can best prepare yourself.
On average, our process lasts 20 working days and offers usually follow within 48 hours 🤞
To learn more about us:
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