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.

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📌 Python Engineer (Madrid)
🏢 Capitole
📍 Madrid