About this role
Responsibilities Analyze, implement, and maintain ETL processes using Azure Data Factory and PySpark in Databricks . Design and develop high-performance data solutions based on specific functional requirements. Prepare and execute comprehensive testing activities to ensure the reliability of data pipelines. Perform bug fixing and optimization of pipelines during daily production runs. Gather and translate business requirements into detailed functional and technical specifications. Manage database modeling tasks using specialized tools such as Erwin or Visio . Requirements 3+ years of experience with Azure cloud data platforms including Data Lake Gen2 and Synapse . 3+ years of experience with Databricks and Python programming for data engineering. 3+ years of experience in Azure Data Factory and Data Flow . 3+ years of experience in DevOps practices, including Infrastructure as Code and CI/CD . 3+ years of experience in Power BI and semantic data modeling. You bring knowledge of data management principles such as metadata management, lineage, and data quality. You possess experience in database modeling using Erwin or Visio . You have the ability to handle analytics use cases and translate complex business requirements. You're proactive, solution-oriented, and able to work both independently and in a collaborative team environment. You are fluent in Dutch or French with basic knowledge of the other, and have a good command of English . Nice to Haves Experience within the insurance or financial domain. Experience on projects involving different technology stacks and integration aspects. Professional and client-friendly approach.