Senior Data Engineer for AI Product

Qonto; Berlin; Vor Ort; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

A financial services company is seeking a Senior Data Engineer to enhance their AI products. The ideal candidate will have at least 3 years of experience in data engineering and Python, focusing on building and maintaining data pipelines for machine learning tools. This role is based in Berlin and offers a collaborative work environment with competitive perks.

Leistungen

Career track opportunities

Inclusive work environment

Meal vouchers

Public transport reimbursement

Health insurance

Mental health support

Childcare benefits

Monthly team events

Qualifikationen

• Minimum 3 years of experience with Python and software engineering skills.
• Minimum 3 years of experience in data engineering, ideally applied to ML use cases.
• Strong knowledge of batch and real-time pipeline design.

Aufgaben

• Build and maintain end-to-end data pipelines for ML model training.
• Design and optimize data storage and access patterns for performance.
• Deploy and manage model-serving systems for seamless integration.

Kenntnisse

Python

SQL

Data engineering

Microservices

CI/CD

Team player

Tools

Kafka

Airflow

DBT

Snowflake

Jobbeschreibung

Overview

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 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 | Ownership | Teamwork | Mastery | Integrity

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.

Role

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 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.
• Location: Based in Paris, Berlin, Milan, Barcelona, or Belgrade; not open to fully remote arrangements.

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;
• 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 or live 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.

To learn more about us: Qonto's Blog | Les Échos | L'Usine Digitale | Courrier Cadres

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