Data Engineer Specialist
What You Will Do (Core Responsibilities)
End-to-End Ownership: Lead the complete data chain for the Foundation Pod, covering ingestion, Bronze, Silver, Gold layers, and the Power BI semantic layer.
Pipeline Development: Build, optimize, and maintain scalable ETL/ELT data pipelines and Gold certified datasets to drive BI and analytics.
Semantic Modeling & BI: Develop and govern high-performance Power BI semantic models and dashboards.
Data Architecture: Implement robust Data Lakes, Data Warehouses, and integration layers aligned with the global data strategy.
Data Quality & Governance: Establish automated quality checks, validation rules, and monitoring systems to ensure maximum accuracy and reliability.
System Integration: Develop integrations between ERP/CRM sources, third-party tools, and analytics platforms, coordinating with the Core Team's Data Architect on platform standards.
Performance & Cost Optimization: Fine-tune query performance, monitor pipeline execution times, and manage cloud storage/compute costs.
Technical Leadership: Direct the work of peer engineers, uphold strict pipeline SLAs, and maintain comprehensive technical documentation.
What We Are Looking For (Required Skills)
Hands-on experience with Microsoft Fabric and OneLake (or equivalent Azure data platform experience).
Proven track record designing Bronze/Silver/Gold medallion architectures end-to-end.
Expertise in Azure Data Factory pipeline design and data contract definition.
Deep experience in Power BI semantic modeling and advanced DAX authoring.
Practical experience integrating ERP and CRM source systems into a unified data platform.
Strong technical leadership skills (ability to direct engineering work and hold pipeline SLAs).
Professional English proficiency (B2+ level or higher).
Nice to Have
Experience with Infor SyteLine or Infor ION integrations.
Experience handling regulated or medical-device data within an ISO 13485 context.
Familiarity with Infrastructure-as-Code (Bicep or Terraform) and CI/CD for data pipelines.
Hands-on experience with source systems like OneStream, Workday, or Fusion PLM.