Data Engineer — Hybrid ML & Credit Risk Pipelines

Joppy; Barcelona; Hybrid; EUR 70,000 - 95,000; Full time

Benefits offered by this job

Hybrid work model (office + home)

Medical insurance

English/Spanish language classes

Gym membership

Company events

Library of books

Free fruit, coffee & tea

Job summary

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.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Python

REST API development

Data engineering

ML lifecycle

AWS

Docker

Airflow

OpenAPI

FastAPI

SQLAlchemy

Pydantic

Tools

Docker

Airflow

AWS

OpenAPI

FastAPI

SQLAlchemy

Pydantic

Job description

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.