Descripción de la oferta
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
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.
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