Python Engineer

Capitole; Cataluña; Presencial; EUR 70.000 - 100.000; Jornada completa

Descripción de la vacante

CAPITOLE is seeking a Python Engineer to design and implement scalable Python services and REST/GraphQL APIs. You will work on microservices and event-driven architectures in an international tech project.

You will build data pipelines with Apache Airflow, use RabbitMQ, Kafka, Redis, Celery, and work with ClickHouse, PostgreSQL, MongoDB. Dockerize services and contribute to CI/CD. English environment.

Formación

• Proficiency in Python and modern web service frameworks.
• Experience building microservices and distributed systems.
• Strong API design with GraphQL and REST.
• Hands-on with Docker and CI/CD practices.
• Experience with data pipelines and Airflow is a plus.

Responsabilidades

• Design and develop scalable Python services and REST/GraphQL APIs.
• Build microservices and event-driven architectures for data-intensive apps.
• Develop distributed data pipelines using Airflow.
• Work with messaging systems such as RabbitMQ or Kafka.
• Collaborate with data, engineering, product, and infra teams.

Conocimientos

Python

Microservices

Distributed systems

Event-driven architectures

GraphQL APIs

Herramientas

Docker

Apache Airflow

RabbitMQ

Kafka

Redis

Celery

ClickHouse

PostgreSQL

MongoDB

FastAPI

Django

Flask

Descripción del empleo

At CAPITOLE, we’re growing and we’d love for you to grow with us.

We are looking for a Python Engineer with strong experience in microservices, distributed systems, and data-intensive applications to join an international technology project.

What will you do?

• Design and develop scalable Python services and REST/GraphQL APIs.
• Build solutions based on microservices and event-driven architectures.
• Develop and maintain distributed workflows and data pipelines using Apache Airflow.
• Work with messaging and asynchronous processing technologies such as RabbitMQ, Kafka, Redis, and Celery.
• Work with databases such as ClickHouse, PostgreSQL, and MongoDB, focusing on performance and scalability.
• Containerize services with Docker and contribute to CI/CD and automated testing practices.
• Collaborate with Data, Engineering, Product, and Infrastructure teams on architecture and technical decisions.
• Work in a modern engineering environment where AI-assisted development and agentic systems are increasingly part of the development workflow.

What are we looking for?

• Strong professional experience developing with Python.
• Solid experience with microservices and event-driven/distributed architectures.
• Experience with Python frameworks such as FastAPI, Django, or Flask.
• Experience working with GraphQL APIs.
• Hands-on experience with Docker.
• Experience with Apache Airflow and data/workflow orchestration.
• Experience with ClickHouse or similar data-intensive database environments.
• Experience with messaging technologies such as RabbitMQ or Kafka.
• C1 English level and ability to work in a fully English-speaking environment.
• Experience building AI agents or agentic systems will be highly valued.
• Familiarity with AI development tools such as Cursor or Claude Code is a plus.