Senior Data Engineer

ullibType: /b Temporary /lilibRuntime: /b 12 month /lilibHomeoffice: /b hybrid model, 2-3 days onsite /li /ul /brpWe are looking for two experienced Data Engineers to take end-to-end technical ownership within our strategic Reporting Analytics Hub (RAH). In this role, you will design, implement, and maintain scalable Azure-based data solutions for reporting, analytics, and invoicing use cases.

You will translate complex business needs into sustainable technical architecture, ensuring seamless data integration across event-driven technologies, enterprise data models, and SAP interfaces. /p /brpbYour Responsibilities /b /p /brul /brlibEnd-to-End Solution Ownership: /b Drive reporting, analytics, and invoicing capabilities within RAH across the complete project and delivery lifecycle. /li /brlibData Architecture Modelling: /b Design and implement scalable, enterprise-grade data models optimized for reporting and invoicing workflows. /li /brlibAzure PySpark Engineering: /b Develop and maintain cloud-native data pipelines and solutions using PySpark and the broader Azure Data Platform. /li /brlibData Integration Streaming: /b Ingest and process structured and streaming data delivered via sFTP, Kafka, and event-driven architectures. /li /brlibInvoicing SAP Enablement: /b Support

core invoicing processes by accurately preparing invoicing volumes and managing interfaces toward SAP systems. /li /brlibReporting Stakeholder Collaboration: /b Deliver internal and external reporting solutions using Power BI, working closely with Requirements Engineers and business stakeholders to refine evolving requirements. /li /br /ul /brpbWhat You Bring to the Team /b /p /brul /brlibData Engineering Experience: /b Proven track record as a Senior Data Engineer working in enterprise-scale environments. /li /brlibAzure PySpark Expertise: /b Deep technical mastery of the Azure Data Platform and PySpark development. /li /brlibData Modelling Invoicing Domain: /b Strong knowledge of scalable reporting architectures, data modelling, and invoicing/billing processes and data structures. /li /brlibStreaming Event-Driven Systems: /b Practical experience with real-time data processing and

streaming technologies (e.g., Apache Kafka). /li /brlibAnalytics Visualization: /b Hands-on experience building analytics and reporting solutions with Power BI. /li /brlibLanguage Skills: /b High professional proficiency (Very Well) in both bGerman /b and bEnglish /b, both spoken and written. /li /br /ul /brpbWe look forward to receiving your application! /b /p