Join ACENSI as a Senior Data Engineer focused on renewable energy in Brussels. Utilize your Python skills to develop Machine Learning models for forecasting energy production from wind and solar assets.

As a key member of our team, you'll handle MLOps challenges and collaborate with Data Scientists to optimize the ML model lifecycle. Your expertise in Python and the AWS ecosystem will be crucial in creating productive training pipelines for our renewable energy projects.

Key Responsibilities:
• Create Machine Learning models for energy production forecasts
• Collaborate with Data Scientists and Quants on ML projects
• Manage feature preparation, training, and inference processes




• Work with AWS services like S3 and Step Functions
• Optimize Databricks usage within the scope of energy forecasts

Requirements:
• Expert in Python V3 with over 10 years of experience
• Senior experience in Big Data Architecture (8-10 years)
• Some experience with Databricks (less than 3 years)
• Advanced Machine Learning skills (5-8 years)
• Strong analytical skills with problem-solving capability

Leverage your Python expertise and MLOps knowledge to impact renewable energy solutions.
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📌 Senior Data Engineer for Energy Sector (Ontario)
🏢 ACENSI
📍 Ontario