Senior Data Engineer – MLOps, Python & AWS (Brussels)

ACENSI; Belgique; Sur place; EUR 70 000 - 95 000; Plein temps

Résumé du poste

ACENSI in Brussels is seeking a Data Engineer to join a client in the energy sector. You will develop Python-enabled ML pipelines to forecast energy production for renewable assets such as wind farms and photovoltaic plants, collaborating with data scientists and quants.

The role emphasizes MLOps, feature prep, training, tuning and inference, with strong Python and AWS skills. Databricks, MLFlow and related tools are a plus.

Qualifications

• Python V3 Expert is required.
• Big Data Architecture & Technologies Senior experience.
• Databricks experience is a plus.

Responsabilités

• Forecast energy production using ML models for renewable assets.
• Collaborate with Quants and Data Scientists to set up training pipelines.
• Work with AWS services (S3, Step Functions, Athena) for data processing.

Connaissances

MLOps

Python development

Collaboration with Quants & DataSci

Outils

AWS ecosystem

Databricks

MLFlow

Description du poste

ACENSI in Brussels is seeking a Data Engineer to join a client in the energy sector. You will develop Python-enabled ML pipelines to forecast energy production for renewable assets such as wind farms and photovoltaic plants, collaborating with data scientists and quants.

The role emphasizes MLOps, feature prep, training, tuning and inference, with strong Python and AWS skills. Databricks, MLFlow and related tools are a plus.