Senior Python Engineer - Data & ML Systems

About us

Finclude is a Dublin-based fintech pioneer revolutionizing how creditworthiness is assessed across Europe. We are bridging the gap for over 200 million people who lack traditional credit access by replacing outdated history-based models with real-time, AI-driven transactional intelligence.

What you’ll be working on

You will work on a Python-based system responsible for:

• Processing and transforming transactional data from multiple banking sources
• Designing data pipelines tailored to real-world data inconsistencies and edge cases
• Building systems for data normalization, categorization, and enrichment
• Supporting the development and integration of scoring models and ML-driven features
• Collaborating with R&D to bring experimental models into production
• Designing scalable, event-driven processing workflows
• Contributing to architecture decisions across data, pipelines, and system design

How we work

• Small team, high ownership
• Direct impact on architecture and product decisions
• Pragmatic approach over over-engineering
• Close collaboration between engineering and R&D

Why join

• Work on non-trivial data problems with real-world impact
• Build systems from the ground up, not just maintain them
• Be part of a team where engineering decisions matter

What we’re looking for

• Strong experience with Python in production systems
• Solid understanding of data pipelines and transformation workflows
• Strong SQL skills and experience with PostgreSQL
• Experience working with messy, real-world data
• Experience integrating or deploying ML/analytics models into production
• Familiarity with event-driven or distributed systems
• Experience with Docker and Kubernetes
• Ability to write clean, maintainable, well-structured code
• Comfortable working in a small, high-ownership team

Nice to have

• Experience with fintech or transaction data
• Experience with cloud platforms (e.g. Amazon Web Services, Google Cloud Platform)
• Familiarity with message queues and event-driven architectures
• Exposure to applied machine learning workflows

• Enjoy a competitive salary
• Work alongside exceptional and lovely people
• Sharpen your technical skills on challenging projects, and through generous learning time
• Have ownership of your role, enjoy the impact you create and the ability to steer the technology & culture of the company
• Private Health Insurance
• Training & Development
• Laptop
• Phone - Mobile Plan
• Paid Time Off
• Work From Home