Azure Data Engineer: Databricks, Spark & Power BI

Us3 Consulting; Brussel; Hybride; EUR 75 000 - 110 000; Plein temps

Résumé du poste

Us3 Consulting in Brussels is seeking an experienced Azure Data Engineer to design, build, and maintain scalable data pipelines and analytics solutions. The role requires hands-on experience with Databricks, dbt, Spark, Python, Azure Data Factory, SQL Server, and Power BI.

Ideal candidates will have 6+ years of Azure Databricks experience and 2+ years with Spark, along with knowledge of SSIS/SSRS as a plus.

Qualifications

• Bachelor's degree in Computer Science, IT, or related field.
• 3–8+ years of experience in Data Engineering or BI.
• Microsoft Azure certifications are a plus.
• 6+ years of work experience with Azure Databricks.
• 2+ years of work experience with Apache Spark.

Responsabilités

• Design, build, and optimize ETL/ELT pipelines using ADF and Databricks.
• Develop scalable data processing with Apache Spark (PySpark).
• Create and maintain data transformation models with dbt.
• Write optimized SQL queries, stored procedures in SQL Server.
• Develop Python scripts for ingestion, transformation, and automation.
• Build and maintain data warehouses and data lakes.
• Develop dashboards and reports using Power BI.
• Monitor, troubleshoot, and optimize data pipelines for performance.
• Collaborate with stakeholders to deliver data solutions.
• Implement data quality, governance, and security best practices.
• Maintain technical documentation and support deployments.

Connaissances

Databricks

dbt

PySpark

Python

Azure Data Factory

SQL Server

Power BI

Git

CI/CD

Data warehousing

Formation

Bachelor's degree in Computer Science/IT

Outils

Delta Lake

Azure DevOps

Azure Synapse Analytics

Unity Catalog

Git

CI/CD pipelines

Description du poste

Us3 Consulting in Brussels is seeking an experienced Azure Data Engineer to design, build, and maintain scalable data pipelines and analytics solutions. The role requires hands-on experience with Databricks, dbt, Spark, Python, Azure Data Factory, SQL Server, and Power BI.

Ideal candidates will have 6+ years of Azure Databricks experience and 2+ years with Spark, along with knowledge of SSIS/SSRS as a plus.