Main Mission:

As a Senior Azure Data Engineer, you are responsible for designing, developing, and maintaining robust, scalable, and secure data pipelines on the Microsoft Azure platform. You play a key role in delivering reliable data to Data Science, BI, and business teams.

Key Responsibilities:

• Design and develop data pipelines using Azure Data Factory, Databricks, or other Azure services.
• Implement modern data architectures (Data Lake, Delta Lake, Lakehouse).
• Automate data ingestion, transformation, and exposure processes.
• Maintain the Microsoft Azure platform.
• Optimize performance and manage cloud costs.
• Collaborate with Data Analysts, Data Scientists, and business stakeholders to understand needs and propose suitable solutions.
• Document data flows, models, and best practices.

Required Technical Skills:

• Proficiency with Azure services: Data Factory, Azure Databricks, Azure SQL, Azure Storage, Key Vault, Azure DevOps.
• Experience with distributed data processing frameworks (Spark, PySpark, Databricks).
• Strong skills in SQL, Python, and/or Scala.
• Knowledge of CI/CD principles applied to data engineering.
• Experience with Power BI administration and governance.

Profile:

• Degree in Computer Science, Data Engineering, or a related field.
• Minimum 7 years of experience in a similar role.
• Analytical mindset, attention to detail, autonomy, and team spirit.
• Strong communication skills and ability to explain technical concepts clearly.

Nice to Have:

• Microsoft Azure certification (e.g., DP-203).
• Databricks certification (e.g., Databricks Data Engineer Associate).
• Experience working in Agile/Scrum environments.
• Familiarity with monitoring tools (Azure Monitor, Log Analytics).
• Basic SAP knowledge (S4/Hana as a major data source).

Languages

• French or Dutch: native
• Second language French or Dutch: good
• English: good