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.