Data Engineer – Data & Analytics Platforms

Responsibilities Design and implement data models for diverse business segments, ensuring optimal architecture of dimensions and facts. Develop, maintain, and optimize ETL processes using a modern cloud-based stack. Create high-impact Power BI reports and dashboards that deliver clear value to end-users. Collaborate closely with analysts and controllers to translate business requirements into technical data solutions. Support and mentor internal colleagues in the development of self-service BI reporting. Drive continuous improvement in system performance, data security, and functional quality. Requirements 5+ years of experience in data engineering with SQL and Python , specifically PySpark . 5+ years of experience with Power BI , including DAX , data modeling, and semantic layer design. Hands-on experience with Azure services including Azure Data Factory , Synapse Pipelines , and Azure Data Lake Storage Gen2 . Extensive knowledge of Databricks and Delta Lake for transformation and compute layers. Proficiency with Azure DevOps and Git for CI/CD, repository management, and sprint workflows. Experience with data transformation using dbt . Experience with Infrastructure as Code using Terraform . Knowledge of Azure Spring Apps and containerization techniques. You are a proactive team player with strong analytical and communication skills. You are fluent in Dutch . Nice to Haves Experience with Unity Catalog for data governance. Familiarity with Azure Active Directory or Entra ID within a security-focused environment.