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# Software Engineer

- **Company:** Teamhopper's Fintech Foundation
- **Location:** Barcelona, Spain
- **Salary:** €110,000.0
- **Contract:** Permanent contract
- **Skills:** Extract Transform Load (ETL), Distributed Computing Environment, Python (Programming Language), Machine Learning, Software Architecture, Scala (Programming Language), SQL Databases, Feature Engineering, Machine Learning Operations
- **Published:** July 12, 2026
- **Apply:** https://es.trabajo.org/oferta-3206-a72b45eba70f22a5e23b99b3f3071ff3

## About the Role

large-scale pricing platforms - Proficiency in Python, Scala, and SQL, applied to production ML systems rather than exploratory work - Experience in data modelling, software architecture, and distributed data processing frameworks at scale - Deep understanding of ML algorithms and when to apply them in the context of pricing, demand forecasting, or similar commercial domains - Strong analytical instincts and attention to detail, with a track record of catching issues before they reach production - A product mindset that keeps the customer outcome in view, even when the work is deeply technical - Clear, collaborative communication skills that hold up across data science, engineering, and business stakeholder xcskxlj audiences Perks and Benefits of Working With Us - Well-funded and proven startup with large ambitions, competitive salary, upsides of pre-IPO equity packages - Hopper covers the cost of employee premiums for private medical and dental coverage - Hopper also

## Description

solutions that are reliable, scalable, and oriented toward commercial outcomes. What Would Your Day-to-Day Look Like - Design and implement automated, reusable training pipelines to ensure consistent, scalable model delivery across the partner portfolio - Build ETL pipelines with thoughtful feature engineering to guarantee clean, reliable inputs for pricing models - Develop and deploy real-time ML pricing solutions to production, owning the full path from model to live environment - Monitor production systems for latency, drift, and training-serving skew, optimising continuously to maintain model integrity - Run champion-challenger tests on pricing and product construction levers to surface improvements and respond to shifting market conditions - Partner with data scientists, engineers, and product stakeholders to translate business needs into well-scoped technical solutions An Ideal Candidate Has - 5+ years of experience in a similar role, ideally within production ML systems or


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