Data & machine learning engineer

Joppy; Barcelona; Híbrido; EUR 70 000 - 95 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Hybrid work model (office + home)

Medical insurance

English/Spanish language classes

Gym membership

Company events

Library of books

Free fruit, coffee & tea

Resumo da oferta

Joppy in Barcelona is seeking a Data Engineer with a strong product mindset to design, build, and maintain production-grade data products powering our credit workflows. You will turn Data Scientist research into robust services enabling real-time decisions at the core of our business.

You will productionize credit risk and fraud models, own the ML lifecycle, and build APIs exposing scoring, risk signals, and underwriting features for our platform, operations teams, and partners.

Qualificações

• You have at least 3 years of experience shipping Data Science solutions into production, with feature pipelines, training/retraining workflows, model versioning, and live monitoring.
• 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 with request validation, async patterns, error handling, OpenAPI docs.
• 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 deploying and operating APIs and batch workers.
• Containerizing workloads with Docker.

Responsabilidades

• 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, and live monitoring for drift and degradation.
• Ensure deployed models meet performance and latency standards for automated credit decision workflows.
• Build internal APIs to expose credit scoring, risk signals, and underwriting features.

Conhecimentos

Python

REST API development

Data engineering

ML lifecycle

AWS

Docker

Airflow

OpenAPI

FastAPI

SQLAlchemy

Pydantic

Ferramentas

Docker

Airflow

AWS

OpenAPI

FastAPI

SQLAlchemy

Pydantic

Descrição da oferta de emprego

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
• 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.