Data & machine learning engineer

Our company is an end-to-end working capital solutions provider focused on enabling CFOs/Finance teams of SMEs to pay their suppliers and collect from their customers. This includes short-term credit (factoring, supply chain finance and loans) and payment automation solutions. We are looking for a Data Engineer with a strong product mindset to join our Data team. Your primary mission will be to design, build, and maintain production-grade data products that power our credit workflows — turning Data Scientist research and models into robust, scalable services that enable real-time decisions at the core of our business.

• Productionize credit risk and fraud models
• Work closely with the Data Science team to productionize Data Science solutions
• Own the full ML lifecycle: feature engineering, training and retraining workflows, model versioning (MLflow), and live monitoring for drift and degradation.
• Ensure deployed models meet the performance and latency standards required by automated credit decision workflows.
• Build internal APIs to expose credit scoring, risk signals, and underwriting features — consumed by the company's platform, operational teams, and third-party partners.
• Model and maintain database schemas for credit products: scoring results, decision logs, exposure tracking, repayment history — optimized for both operational and analytical access.
• Own the data layer for new products (micro-credit, portfolio factoring, supply chain finance) from scratch: define the business logic, model the data, and implement end-to-end pipelines.
• Design systems that grow with credit volumes and new product types — without requiring hard architectural rework every time.
• Apply software engineering best practices: modular code, unit and integration tests, CI/CD pipelines, clear documentation.
• Containerize and deploy services on AWS with Docker; orchestrate batch workflows (scoring runs, data refresh) with tools like Airflow.
• Data Scientists: iterate rapidly on productionization — you are their engineering partner, not just a deployment step.
• Software Engineers: integrate data services into the platform cleanly, with clear API contracts and stable interfaces.
• Credit, Risk and Underwriting teams: translate operational needs into robust data product requirements.

• You have at least 3 years of experience in shipping Data Science solutions into production: feature pipelines, training and retraining workflows, model versioning, and live monitoring. Not prototypes — real systems that users and workflows depend on.
• Clean, modular, testable Python is your default. Comfortable with FastAPI, SQLAlchemy, Pydantic and similar libraries; you know the difference between code that works and code that ships.
• Hands-on building internal REST APIs: request validation, async patterns, error handling, OpenAPI docs. You design stable contracts and think about versioning and performance from day one.
• Strong database skills across operational and analytical workloads: schema design, indexing, partitioning, query optimization. Comfortable modeling finance-domain data — scoring outputs, decision logs, exposure and repayment history.
• Solid AWS cloud experience (S3, RDS, EC2, Lambda, IAM, others) deploying and operating APIs and batch workers. Comfortable containerizing workloads with Docker.
• Small team, high autonomy. You drive work from problem definition to production with minimal guidance, and you measure quality in terms of credit decisions — not just technical correctness.

• Full-time work with an open-ended contract
• Hybrid work model: we work 3 days from the office and 2 days from home to improve work-life balance
• Flexible benefits with Coverflex: you will be able to include in your paycheck the monthly expenses for food, transportation, daycare and others
• Medical insurance: we offer an optional health insurance through Sanitas, with competitive rates and company subsidizes 30% to guarantee your wellbeing
• Communicate better with your colleagues by signing up for free English or Spanish classes if you need them
• Gym membership with Urban Sports Club, partly subsidized by company (we also have a running club!)
• Incredible and highly motivated co-workers
• You will participate in our company events and get to meet the rest of the team that is spread across Spain
• You will be part of our dynamic and international work environment, with a flat hierarchy and open communication between teams
• Library with plenty of books to choose from. If you can't find anything, let us know and we'll add it to the library.
• Free fruit, coffee and tea in the office. We know it's customary, but we like to take care of you anyway.