Senior Python Engineer - Data & ML Systems

๐ŸŒ Remote, USA ๐ŸŽฏ Full-time ๐Ÿ• Posted Recently

Job Description

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 We are bridging the gap for over 200 million people who lack traditional credit access by replacing outdated history-based models with real-time, AI-driven transactional intelligence.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 youโ€™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 Requirements What weโ€™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 Benefits 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

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