Note: Only Belgium based candidates will be considered

Your role as a Data Engineering & Application Development

• Design, develop, test, and maintain scalable data engineering solutions on Microsoft Azure and Databricks.
• Build robust and reusable ETL/ELT pipelines using Python, PySpark, Scala, and SQL.
• Develop data processing applications for ingestion, transformation, enrichment, validation, and serving of analytical datasets.
• Implement reliable batch and streaming data workflows using Azure Databricks, Delta Lake, and modern data lakehouse patterns.
• Contribute to application design, code quality, performance optimization, and maintainability of data engineering solutions.
• Develop reusable libraries, utilities, frameworks, and technical components to accelerate data product delivery.

Required Qualifications

• 5+ years of hands-on experience in data engineering, application development, or cloud-based data platform development.
• Strong hands-on development experience with:
  • Python
  • PySpark
  • Scala
  • SQL
  • ETL/ELT development
• Solid experience with the Azure Databricks ecosystem, including:
  • Databricks notebooks and jobs
  • Spark clusters
  • Delta Lake
  • Lakehouse architecture
  • Performance tuning and optimization
• Experience designing, developing, and operating production data pipelines.
• Good knowledge of Azure data services such as:
  • Azure Data Lake Storage
  • Azure Data Factory
  • Azure Key Vault
  • Azure DevOps
  • Azure monitoring/logging capabilities
• Experience with CI/CD pipelines, preferably using Azure DevOps YAML pipelines.
• Strong understanding of software engineering practices, including version control, automated testing, modular development, and code reviews.
• Understanding of cloud security, access management, observability, and cost-aware development practices.
• Working knowledge of Terraform or infrastructure-as-code concepts is a plus, but not the primary focus of the role.