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Backend Python Developer

On-site in Barcelona·Full-time·Added 7 months ago (last checked 8 Oct)

Overview

Job details

  • Full-time

    Per the ad.

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  • The ad doesn’t mention sponsorship

    Not a refusal, but not a yes. Worth asking in your first message.

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Requirements

  • Work in English

    English is required, per the ad.

  • Work on-site in Barcelona

    No relocation package mentioned.

  • University degree

    “Bachelor's degree in Computer Science, Computer Engineering, Systems Analysis and Development, or related fields” — per the ad.

Skills

Requirements

What we're looking for

- Bachelor's degree in Computer Science, Computer Engineering, Systems Analysis and Development, or related fields

- Experience with Dagster, Airflow, or Prefect

- Knowledge of 

    - Python, 

    - SQLAlchemy, 

    - FastAPI or Flask, 

    - Pydantic, 

    - Data modeling, 

    - Git, 

    - Docker, 

    - Docker Compose

- Knowledge of AI/ML and data-driven automation

- Fluent English level

Nice to have

- TimescaleDB

- Alembic

- Pytest

- Type hints

The role

Interested in working with an AI Data Platform supporting sustainability, with backend Python development and Data Orchestration, i.e. airflow?

This is your chance to become part of a startup internationally recognized for its cutting-edge technology.

We are a predictive technology platform focused on maximizing performance and digitalizing operations in renewable energy parks.

Our mission is to develop optimized, profitable, and user-friendly solutions, ensuring high performance and sustainability for energy producers.

We are looking for a Mid-Level Python Developer to strengthen our team and further boost our technical structure!

If you are driven by innovation and enjoy a collaborative environment, this could be the ideal opportunity for your career.

What you'll do

- Develop, maintain, and evolve web applications using Python

- Create and integrate APIs using FastAPI

- Write SQL queries and interact with relational databases

- Participate in data modeling (entity-relationship) and normalization

- Use tools such as Git and Docker throughout the development lifecycle

- Apply, whenever possible, emerging AI/ML solutions and data-driven automation to improve delivery efficiency

- Collaborate with the team on continuous improvement of processes, testing, and code architecture

- CI/CD

- Kubernetes (deployments, services, ingress)

- Unit testing

- Knowledge of software architecture (patterns, repositories, services)

About Delfos Energy

Industry
Energy Software
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