Senior Data Engineer for AI Product

Qonto; Barcelona; Presencial; EUR 50.000 - 70.000; Jornada completa

Descripción de la vacante

A financial technology company is seeking a Senior Data Engineer for their AI product. You will design and optimize data pipelines for machine learning applications, collaborate with teams, and ensure data quality. The ideal candidate will have extensive experience in data engineering and Python.

Servicios

Competitive salary package

Meal voucher

Public transportation reimbursement

Excellent health insurance

Employee well-being initiatives

Childcare benefits

Monthly team events

Formación

• Minimum 3 years of experience in Python and software engineering.
• 3+ years in data engineering focused on ML use cases.
• Proficient in designing batch and real-time pipelines.

Responsabilidades

• Build and maintain end-to-end data pipelines.
• Design data storage for scale and performance.
• Deploy model-serving systems for production integration.

Conocimientos

Python

Software Engineering

Data Engineering

SQL

Team Collaboration

Machine Learning Workflows

Herramientas

Kafka

Airflow

DBT

Snowflake

Descripción del empleo

Overview

Join to apply for the Senior Data Engineer for AI Product role at Qonto.

At Qonto, as a Senior Data Engineer for our AI product, you’ll shape the foundations that power our machine learning systems, helping us build smarter, faster, and more reliable financial tools.

Responsibilities

• Build and maintain 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 where your work directly enables machine learning solutions that simplify accounting processes for SMEs and freelancers across Europe.
• Work with lean methodology focused on continuous delivery, enabling rapid iteration and feedback on data infrastructure improvements.
• Collaborate with Machine Learning Engineers and productionize 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 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. She focuses on removing blockers and fostering innovation, empowering 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.

Perks

• Offices in Paris, Berlin, Milan, Barcelona, and Belgrade.
• Competitive salary package.
• A meal voucher.
• Public transportation reimbursement (part or global).
• Excellent health insurance (depending on the country).
• Employee well-being initiatives and access to mental health resources and wellness activities.
• Disability and parenthood policy with childcare benefits.
• 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.

Find more information about our interview process on our careers website.

On average, our process lasts 20 working days and offers usually follow within 48 hours.

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