Backend Python Developer

Your mission

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.

Your profile

About The Position

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.

Main Responsibilities

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

Required Qualifications

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,

SQL,

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

CI/CD

Kubernetes (deployments, services, ingress)

Unit testing

Knowledge of software architecture (patterns, repositories, services)

About Us

Delfos is doing more than predict failures it is scaling up operational knowledge.

Delfos Energy is an energytech focused on predictive maintenance solutions and digital transformation to improve performance in renewable energy generation.