Data Engineer (m/f/d)
Core
Design, develop, and operate an enterprise data platform serving finance, sales, and other departments to enable budgeting, forecasting, and AI-ready insights.
Role type
Senior Data Engineer (Enterprise Data Platform)
Builds
Scalable Microsoft Fabric data infrastructure, ETL/ELT pipelines, semantic data layers, and AI-ready datasets
Domain
Enterprise Performance Management (EPM), Cloud Data Engineering, AI Data Preparation
Deliverable
production ML models
Required skills
Python, SQL, Spark, Microsoft Fabric, Azure Data Platform, Delta Lake, ETL/ELT, Data Modeling, REST APIs, Metadata Management, Semantic Modeling
Preferred skills
Azure Certifications, Purview, Synapse, Data Mesh, Graph/Vector Databases, Azure AI Search, Event Streaming
Technologies
Microsoft Fabric, Delta Lake, Azure SQL, Azure Data Lake, Spark, Salesforce, SharePoint, M365, REST APIs
Responsibilities
Design and own the enterprise data platform using medallion lakehouse architecture; Develop and operate robust batch and streaming ETL/ELT pipelines; Integrate enterprise systems including ERP/CRM and REST APIs; Ensure performance and reliability through monitoring and optimization; Build semantic data layers, taxonomies, and data governance; Drive AI readiness via document chunking, embedding pipelines, and vector datasets; Expose knowledge services and APIs for AI applications.
Seniority
Senior, hands-on IC