Jobs and Careers
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Data Ops Engineer for AI Product
QontoFranceRemotefull_timeVerifiedPosted 6 Feb 2026
About the role
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 doOwnership | Own your part, get things doneTeamwork | Make (team)work easyMastery | Continuously raise the barIntegrity | 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.
At Qonto, we're reimagining financial management for SMEs and freelancers across Europe. As a Data Ops Engineer for AI Product, you’ll shape the foundations that power our machine learning systems, helping us build smarter, faster, and more reliable financial tools.
👩💻🧑💻 As a Data Ops Engineer for our AI product, you will:
• Build and maintain through real-time and batch, end-to-end data pipelines for ML model training and inference in a production and fast-paced environment.• Design and optimise data storage and access patterns for scale and performance• Deploy and manage model-serving systems for seamless production integration• Partner with ML Engineers to ensure data quality, scalability, and monitoring
🤔 What you can expect:
• You'll be joining a dynamic team to enable machine learning solutions that simplify accounting processes for SMEs and freelancers across Europe• At Qonto, we use lean methodology with a focus on continuous delivery, allowing rapid iteration and feedback on data infrastructure improvements• Work in pair with Machine Learning Engineer, and put into production models tailored to customer needs.
👨💻 What You’ll Work With:
• Build–run–own Python services with strong system design, implementation, CI/CD, observability, and continuous improvement.• SQL to store data, and query data efficiently• Stream Processing (Kafka, or similar) to process events in real-time.• Orchestration & Data tools (Airflow, DBT, Snowflake)• Collaborate across ML, backend, and product teams
🤝 About your future manager:
Marianne is deeply involved with the development team, providing swift problem-solving support and encouraging proactive discussions on technical decisions. With a focus on removing blockers and fostering innovation, she empowers team members to take ownership of their projects and grow professionally within the company.
🏅 About you
• Minimum 3 years of experience with Python and software engineering skills (microservices, CI/CD, testing)• Minimum 3 years of experience in data engineering, ideally applied to ML use cases• Strong knowledge of batch and real-time pipeline design.• Proficiency in SQL and data modeling for performance• A team player who bridges technical and product discussions• [Bonus] Good understanding of ML workflows and data lifecycle
We are looking for someone who can be based in on
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 doOwnership | Own your part, get things doneTeamwork | Make (team)work easyMastery | Continuously raise the barIntegrity | 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.
At Qonto, we're reimagining financial management for SMEs and freelancers across Europe. As a Data Ops Engineer for AI Product, you’ll shape the foundations that power our machine learning systems, helping us build smarter, faster, and more reliable financial tools.
👩💻🧑💻 As a Data Ops Engineer for our AI product, you will:
• Build and maintain through real-time and batch, end-to-end data pipelines for ML model training and inference in a production and fast-paced environment.• Design and optimise data storage and access patterns for scale and performance• Deploy and manage model-serving systems for seamless production integration• Partner with ML Engineers to ensure data quality, scalability, and monitoring
🤔 What you can expect:
• You'll be joining a dynamic team to enable machine learning solutions that simplify accounting processes for SMEs and freelancers across Europe• At Qonto, we use lean methodology with a focus on continuous delivery, allowing rapid iteration and feedback on data infrastructure improvements• Work in pair with Machine Learning Engineer, and put into production models tailored to customer needs.
👨💻 What You’ll Work With:
• Build–run–own Python services with strong system design, implementation, CI/CD, observability, and continuous improvement.• SQL to store data, and query data efficiently• Stream Processing (Kafka, or similar) to process events in real-time.• Orchestration & Data tools (Airflow, DBT, Snowflake)• Collaborate across ML, backend, and product teams
🤝 About your future manager:
Marianne is deeply involved with the development team, providing swift problem-solving support and encouraging proactive discussions on technical decisions. With a focus on removing blockers and fostering innovation, she empowers team members to take ownership of their projects and grow professionally within the company.
🏅 About you
• Minimum 3 years of experience with Python and software engineering skills (microservices, CI/CD, testing)• Minimum 3 years of experience in data engineering, ideally applied to ML use cases• Strong knowledge of batch and real-time pipeline design.• Proficiency in SQL and data modeling for performance• A team player who bridges technical and product discussions• [Bonus] Good understanding of ML workflows and data lifecycle
We are looking for someone who can be based in on
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