Data Engineer – Azure Databricks & Power BI

Editx; Brussel; Sur place; EUR 70 000 - 90 000; Plein temps

Résumé du poste

Editx is seeking a data engineer to design and optimize data pipelines on Azure, industrialize production-ready models, and deliver robust Power BI dashboards. You will refine anomaly detection with statistical methods and collaborate with stakeholders to translate business needs into technical solutions.

The role emphasizes data lifecycle documentation and best-practice governance. Join Editx to contribute to scalable analytics, improve data quality, and empower decision-making with advanced BI

Qualifications

• Experience designing data pipelines on Azure cloud platforms.
• Ability to industrialize models and indicators for production reliability.
• Proficiency in creating and optimizing Power BI reports and data models.
• Experience with anomaly detection techniques using statistical methods.

Responsabilités

• Design, develop, and optimize data pipelines using Azure Databricks and Azure Data Factory to support organizational use cases.
• Industrialize models and indicator calculations to ensure they run reliably in production through scheduling, monitoring, and quality checks.
• Build and support Power BI reports including data modeling, DAX measures, and performance optimization.
• Refine and validate existing anomaly detection models using statistical methods and Isolation Forest.
• Collaborate with stakeholders to translate business requirements into technical deliverables within the data lifecycle.
• Document data flows and calculation logic to ensure a smooth handover and maintain technical best practices.

Connaissances

Azure Databricks

Azure Data Factory

Power BI

DAX

Data modeling

Outils

Isolation Forest

Statistical methods

Description du poste

Responsibilities

• Design, develop, and optimize data pipelines using Azure Databricks and Azure Data Factory to support organizational use cases.
• Industrialize models and indicator calculations to ensure they run reliably in production through scheduling, monitoring, and quality checks.
• Build and support Power BI reports including data modeling, DAX measures, and performance optimization.
• Refine and validate existing anomaly detection models using statistical methods and Isolation Forest.
• Collaborate with stakeholders to translate business requirements into technical deliverables within the data lifecycle.
• Document data flows and calculation logic to ensure a smooth handover and maintain technical best practices.