Mid Data Pipeline Engineer - Python & ETL

Joppy; Barcelona; Híbrido; EUR 35.000 - 50.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health insurance

Flexible work hours

Birthday day off

Weekly fruit, coffee & tea

Friday happy hours

Team-building events

Training budget

Barcelona office with views

Descripción de la vacante

Joppy is seeking a skilled Mid-Level Data Engineer to design, build, and optimize data pipelines and backend services that ensure clean, reliable data across the organization. The role is based in Barcelona with a hybrid work model, on a full-time permanent contract.

You will write clean Python code, collaborate on database design (SQL/NoSQL), and implement tests and data quality checks to ensure production integrity.

Formación

• 3+ years of Python experience in production systems.
• Experience designing and operating ETL/ELT pipelines from multiple sources.
• Familiarity with SQL and NoSQL databases and query optimization.
• Implement unit and integration tests and data quality checks.
• CI/CD workflows and containerization using Docker.

Responsabilidades

• Design, develop, and maintain scalable ETL/ELT pipelines to ingest, transform, and load data from multiple sources.
• Write clean, efficient Python code focused on performance and maintainability.
• Collaborate on database schema design (SQL and NoSQL) and optimize query performance.
• Implement tests and data quality checks to ensure pipeline integrity.
• Deploy and iterate on pipelines using CI/CD and Docker, participate in code reviews.

Conocimientos

Python

ETL/ELT pipelines

CI/CD

Docker

SQL

NoSQL

Testing

Bilingual EN/ES

Herramientas

Docker

CI/CD

Descripción del empleo

Joppy is seeking a skilled Mid-Level Data Engineer to design, build, and optimize data pipelines and backend services that ensure clean, reliable data across the organization. The role is based in Barcelona with a hybrid work model, on a full-time permanent contract.

You will write clean Python code, collaborate on database design (SQL/NoSQL), and implement tests and data quality checks to ensure production integrity.