Описание: 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. Задачи:
* 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. Требования:
* 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. Условия:
* 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
* Adaptable 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.

📌 Data & machine learning engineer (Barcelona)
🏢 Joppy
📍 Barcelona