Senior Data Software Engineer

Senior Data Software Engineer

At Qonto, we're reimagining financial management for SMEs and freelancers across Europe. As a Senior Data Software Engineer, you'll shape the foundations that power our machine learning systems, helping us build smarter, faster, and more reliable financial tools.

As a Senior Data Software Engineer, 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 optimize 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 of 1 Data Engineer and 5 ML Engineers where your work directly enables 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:

• Python, software engineer, and system design principles to build clean, reliable, and scalable services and pipelines.
• 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 in data engineering, ideally applied to ML use cases.
• Strong Python and software engineering skills (microservices, CI/CD, testing).
• 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.

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.
• Offices in Paris, Berlin, Milan, Barcelona, and Belgrade.
• 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.
• On average, our process lasts 20 working days and offers usually follow within 48 hours.

To learn more about us:

• Qonto's Blog | Les Échos | L'Usine Digitale | Courrier Cadres

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