Azure Data Engineer & Data Scientist - Production Pipelines

EngiFlex BV; Brussel; Sur place; EUR 70 000 - 110 000; Plein temps

Avantages offerts par ce poste

Company car

Career plan with education budget

Extra-legal benefits

Freelance allowed

Résumé du poste

EngiFlex BV in Brussels is seeking an experienced Azure Data Engineer / Data Scientist to join the Data & Analytics team. You will connect data engineering with data science to industrialise and optimise use cases on the Azure Databricks platform.

You will design and improve data pipelines, validate models, and ensure robust production workflows while building Power BI reports in alignment with business reporting needs.

Qualifications

• Minimum 5 years of experience in data science and/or data engineering.
• Experience with Azure Databricks and Azure services.
• Experience building Power BI reports and data models.
• Strong SQL and Python skills (pandas, scikit-learn).
• Ability to understand and take over existing code and models.

Responsabilités

• Design, develop and optimise data pipelines in Azure Databricks and Azure Data Factory.
• Industrialise models and calculations for production with scheduling, monitoring and data quality checks.
• Build and support Power BI reports with semantic/data modelling and DAX measures.
• Understand existing models and indicators and adapt as data evolves.
• Collaborate with Data Engineers, Data Scientists and stakeholders to translate needs into deliverables.
• Document data flows, models and best practices for smooth handover.
• Apply engineering best practices across development, testing, deployment and documentation.

Connaissances

Azure Databricks

Spark/PySpark

Delta Lake

SQL

Python

Power BI

Statistics & ML

Code understanding

Communication

Team collaboration

Formation

Degree in Computer Science, Data Science, Statistics, Engineering or related field

Outils

Azure Data Factory

Azure Storage

Key Vault

Azure DevOps

Description du poste

EngiFlex BV in Brussels is seeking an experienced Azure Data Engineer / Data Scientist to join the Data & Analytics team. You will connect data engineering with data science to industrialise and optimise use cases on the Azure Databricks platform.

You will design and improve data pipelines, validate models, and ensure robust production workflows while building Power BI reports in alignment with business reporting needs.