Data Engineer – Azure Databricks & Power BI

Pauwels Consulting; Brussel; Hybride; EUR 65 000 - 95 000; Plein temps

Résumé du poste

Pauwels Consulting is seeking an experienced Data & Analytics professional to strengthen the team in Brussels. You will design, develop, and optimize end-to-end data pipelines on Azure Databricks and Azure Data Factory, and industrialize models for production.

You will build Power BI reports with semantic modeling and DAX, and refine anomaly detection models using Isolation Forest. Ideal candidates have 5+ years in data science/engineering, strong Azure expertise, and fluency in English with

Qualifications

• 5+ years of experience in data science and data engineering roles.
• Strong expertise with Azure Databricks and Azure services including Data Factory, Storage, Key Vault, and Azure DevOps.
• In-depth experience with Spark, PySpark, and Delta Lake within Lakehouse architectures.
• Advanced proficiency in SQL and Python libraries such as pandas and scikit-learn.
• Proven track record building Power BI reports including semantic modeling, DAX, and visual design.
• Knowledge of statistics and machine learning, specifically anomaly detection techniques.
• Ability to quickly understand and take over existing code bases and models developed by others.
• Fluent in English with native or bilingual proficiency in Dutch or French.

Responsabilités

• Design, develop, and optimize data pipelines using Azure Databricks and Azure Data Factory.
• Industrialize models and indicator calculations to run reliably in production with scheduling, monitoring, and quality checks.
• Build and support Power BI reports including data modeling, DAX, and performance optimization.
• Refine and validate 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 best practices.

Connaissances

Azure Databricks

Azure

Azure Data Factory

Spark

PySpark

Delta Lake

SQL

Python

Power BI

DAX

Anomaly detection

MLOps

Outils

Azure Data Factory

Azure Storage

Azure Key Vault

Azure DevOps

MLflow

Power BI

Description du poste

Our client, a leading organization in the public transport sector, is looking for an experienced professional to strengthen their Data & Analytics team. The project focuses on delivering strategic data use cases on an Azure Databricks platform, bridging data engineering and data science to industrialize models for production.

• 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.

• 5+ years of experience in data science and data engineering roles.
• Strong expertise with Azure Databricks and Azure services including Data Factory, Storage, Key Vault, and Azure DevOps.
• In-depth experience with Spark, PySpark, and Delta Lake within Lakehouse architectures.
• Advanced proficiency in SQL and Python libraries such as pandas and scikit-learn.
• Proven track record building Power BI reports including semantic modeling, DAX, and visual design.
• Knowledge of statistics and machine learning, specifically anomaly detection techniques.
• You possess the ability to quickly understand and take over existing code bases and models developed by others.
• You are proactive, solution-oriented, and demonstrate strong communication skills.
• You are fluent in English with native or bilingual proficiency in Dutch or French.

Nice to Haves

• Experience with MLOps practices such as MLflow, model versioning, and CI/CD.
• Professional certifications in Databricks, Microsoft Azure (DP-100), or Power BI (PL-300).
• Basic SAP knowledge with S/4HANA as a data source.
• Experience working in Agile or Scrum environments.
• Background in the public transport, mobility, or energy sectors.

• Start date: 15/10/2026
• Duration: 3 months (until 31/12/2026) with possible extension.
• Work regime: Full-time
• Location: Brussels
• Working model: Hybrid (at least three days a week onsite).
• Contract: open to both permanent employees and freelancers