Design and develop data pipelines, APIs, and integrations with internal systems, electricity markets, and clients.

Build analytical tools and applications to optimize forecasting, trading, and operational processes.

Design efficient data models, transformations, and queries.

Analyze time series data, detect anomalies, and ensure data quality.

Collaborate with development, research, and business teams to translate business requirements into technical solutions.

Explore AI-powered tools for software development, data analysis, and automation.

What are we looking for?

We are looking for professionals with at least 2 years of experience in data engineering, software development, analytics, or related fields, and strong knowledge of:

Python programming and the development of robust, maintainable code.

SQL, relational database design, and querying.

Development of data pipelines, APIs, and system integrations.

Processing, transforming, and analyzing complex datasets.

Data modeling, quality assurance, and performance optimization.

Development of analytical tools and data visualization.

Software engineering best practices, testing, and debugging.

Professional working proficiency in English.

What do we value?

Experience in the energy sector, electricity markets, trading, or forecasting.

Knowledge of R.

Familiarity with Large Language Models (LLMs), AI coding assistants, and AI-powered tools.

More than 2 years of professional experience working with Python.

What can you expect from us?

Challenging technology projects with a real impact on the energy industry.

A flexible working environment where ideas matter and autonomy is valued.

A specialized, collaborative team focused on continuous improvement.

Hybrid working model, flexible hours, and access to employee benefits.

Ongoing training and professional development in the energy sector.