TL;DR

Senior Software Data Engineer (Fintech): Building and maintaining real-time and batch data pipelines for ML model training and inference in a production environment with an accent on data storage optimization, model-serving systems, and scalability. Focus on designing performant data architectures, deploying ML models, and ensuring data quality in collaboration with ML and backend teams.

Location: Must be based onsite in Paris, Berlin, Milan, Barcelona, or Belgrade

Company

%hirify_global% is a leading European fintech company providing finance workspace solutions for SMEs and freelancers, with a strong focus on customer-centric tools and diversity.

What you will do

Build and maintain real-time and batch end-to-end data pipelines for ML model training and inference.
Design and optimize data storage and access patterns for scale and performance.
Deploy and manage model-serving systems for seamless production integration.
Collaborate with ML engineers to ensure data quality, scalability, and monitoring.
Develop Python services with strong system design, CI/CD, and observability.
Work cross-functionally with ML, backend, and product teams.

Requirements

Must be based onsite in one of the specified European offices (Paris, Berlin, Milan, Barcelona, Belgrade).
Minimum 3 years experience in Python software engineering and data engineering applied to ML use cases.
Strong knowledge of batch and real-time pipeline design, SQL, and data modeling for performance.
Team player with ability to bridge technical and product discussions.
English proficiency at least B2 level.

Nice to have

Good understanding of ML workflows and data lifecycle.

Culture & Benefits

Inclusive and diverse work environment with international team.
Competitive salary package and meal vouchers.
Offices located in major European cities.
Public transportation reimbursement and health insurance.
Employee well-being initiatives including mental health and sports offers.
Disability and childcare benefits with selected partners.
Monthly team events.

Hiring process

Interviews with Talent Acquisition Manager and future managers.
Remote exercise to demonstrate skills.
Process duration about 20 working days with offers usually within 48 hours.