About the Opportunity
As part of the development of innovative solutions for the renewable energy sector, we are looking for a Python Developer / Data Engineer with an MLOps mindset to join a team responsible for deploying and maintaining Machine Learning models in production.
You will contribute to building solutions that forecast energy production from renewable assets (wind farms and photovoltaic plants), working closely with Data Scientists and business experts.
Your Responsibilities
- Develop and maintain robust, scalable Python applications.
- Design, build, and optimize Machine Learning training and deployment pipelines.
- Prepare and transform data for Machine Learning models (feature engineering).
- Automate model training, validation, and inference workflows.
- Collaborate closely with Data Scientists and technical teams to improve the Machine Learning lifecycle.
- Contribute to the continuous improvement of MLOps practices and data platform architecture.
Your Profile
You have solid experience in Python development and are eager to work in a Data Engineering and Machine Learning environment.
Required Skills
- Strong proficiency in Python.
- Experience designing and maintaining data pipelines.
- Good understanding of MLOps concepts, including:
- Feature engineering
- Model training and hyperparameter tuning
- Model deployment
- Inference
- Model versioning
- Hands-on experience with the AWS ecosystem, including:
- Amazon S3
- AWS Step Functions
- Amazon Athena
Nice to Have
Experience with any of the following technologies would be a plus:
- Databricks
- MLflow (Model Registry)
- Feature Stores
- Docker
- Git
- CI/CD
Soft Skills
- Strong team player with excellent collaboration skills.
- Passion for Python development and software engineering best practices.
- Quality-oriented mindset with attention to clean, maintainable code.
- Curious, proactive, and capable of solving complex technical challenges.
Technical Environment
- Python
- AWS (S3, Athena, Step Functions)
- Machine Learning
- Data Engineering
- MLOps
- Databricks (nice to have)
- MLflow (nice to have)
Position based in Brussels
Open to permanent employment (CDI) or freelance contracts
3 days of remote work per week
Why Join This Opportunity?
You'll become part of a highly skilled technical team working on impactful projects within the renewable energy sector. This role offers the opportunity to contribute to the industrialization of Machine Learning solutions that support the energy transition while working with modern cloud and data technologies.
Sign in
To continue your applicationor continue with email
By continuing you agree to our Terms & Privacy Policy.
