Azure Data Engineer - French or Dutch

Phoenix Technologies; Brussel Hoofdstad; Sur place; EUR 70 000 - 110 000; Plein temps

Résumé du poste

Phoenix Technologies in Brussels is seeking an Azure Data Engineer fluent in French or Dutch to design and develop data pipelines on Azure and collaborate with data stakeholders.

You will work with Azure Data Factory, Databricks, Delta Lake, and Lakehouse architectures; ensure governance, cost control, and self-service data capabilities.

The role emphasizes collaboration with Data Analysts and Scientists, with a focus on scalable, reliable data solutions.

Qualifications

• Bachelor's degree in Computer Science, Data Engineering, or a related field.
• Minimum 5 years of experience in a similar data engineering role.
• Strong experience with Azure services (Data Factory, Databricks, Storage, SQL, Key Vault, DevOps) and Unity Catalog.
• Proficiency in SQL, Python, Spark, PySpark, and Delta Lake.
• Knowledge of CI/CD principles, monitoring, performance tuning, and cost optimization in Azure.

Responsabilités

• Design and develop data pipelines using Azure Data Factory, Databricks, and other Azure services.
• Implement modern data architectures such as Data Lake, Delta Lake, and Lakehouse.
• Develop and industrialize new business use cases and self‑service data strategies.
• Contribute to the implementation and management of Databricks Unity Catalog, including governance and permissions.
• Monitor, optimize, and cost‑manage Azure and Databricks performance.
• Automate data ingestion, transformation, and deployment processes.
• Collaborate with Data Analysts, Data Scientists, and business stakeholders.
• Document data flows, architecture, and best practices.

Formation

Bachelor's degree in Computer Science, Data Engineering, or a related field

Outils

Azure Data Factory

Databricks

Storage

SQL

Key Vault

DevOps

Unity Catalog

Delta Lake

Description du poste

We are seeking an Azure Data Engineer fluent in French or Dutch to join our team in Brussels. The role focuses on designing and developing data pipelines on Azure and collaborating with data stakeholders.

Key responsibilities

• Design and develop data pipelines using Azure Data Factory, Databricks, and other Azure services.
• Implement modern data architectures such as Data Lake, Delta Lake, and Lakehouse.
• Develop and industrialize new business use cases and self‑service data strategies.
• Contribute to the implementation and management of Databricks Unity Catalog, including governance and permissions.
• Monitor, optimize, and cost‑manage Azure and Databricks performance.
• Automate data ingestion, transformation, and deployment processes.
• Collaborate with Data Analysts, Data Scientists, and business stakeholders.
• Document data flows, architecture, and best practices.

Required qualifications

• Bachelor's degree in Computer Science, Data Engineering, or a related field.
• Minimum 5 years of experience in a similar data engineering role.
• Strong experience with Azure services (Data Factory, Databricks, Storage, SQL, Key Vault, DevOps) and Unity Catalog.
• Proficiency in SQL, Python, Spark, PySpark, and Delta Lake.
• Knowledge of CI/CD principles, monitoring, performance tuning, and cost optimization in Azure.

Nice to have

• Microsoft Azure or Databricks certifications.
• Experience with Power BI administration and governance.
• Experience with real‑time data streaming and Terraform/Infrastructure as Code.
• Familiarity with Azure Monitor, Log Analytics, and basic SAP data sources.