Jobdescription * Capacity: Full-time (100%) * Languages: German (fluent), English (fluent) Data Engineer We 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. Your Responsibilities * End-to-End Solution Ownership: Drive reporting, analytics, and invoicing capabilities within RAH across the complete project and delivery lifecycle. * Data Architecture & Modelling: Design and implement scalable, enterprise-grade data models optimized for reporting and invoicing workflows. * Azure & PySpark Engineering: Develop and maintain cloud-native data pipelines and solutions using PySpark and the broader Azure Data Platform. * Data Integration & Streaming: Ingest and process structured and streaming data delivered via sFTP, Kafka, and event-driven architectures. * Invoicing & SAP Enablement: Support core invoicing processes by accurately preparing invoicing volumes and managing interfaces toward SAP systems. * Reporting & Stakeholder Collaboration: Deliver internal and external reporting solutions using Power BI, working closely with Requirements Engineers and business stakeholders to refine evolving requirements. What You Bring to the Team * Data Engineering Experience: Proven track record as a Data Engineer working in enterprise-scale environments. * Azure & PySpark Expertise: Deep technical mastery of the Azure Data Platform and PySpark development. * Data Modelling & Invoicing Domain: Strong knowledge of scalable reporting architectures, data modelling, and invoicing/billing processes and data structures. * Streaming & Event-Driven Systems: Practical experience with real-time data processing and streaming technologies (e.g., Apache Kafka). * Analytics & Visualization: Hands-on experience building analytics and reporting solutions with Power BI. * Language Skills: High professional proficiency (Very Well) in both German and English, both spoken and written. We look forward to receiving your application!
Data Engineer in Zürich Arbeitgeber: InGoedeBanen.nl
Unser Unternehmen bietet Ihnen als Kältesystem-Monteur / Mechatroniker Kältetechnik / Servicetechniker (w/m/d) eine herausragende Arbeitsumgebung, die von Teamgeist und Innovation geprägt ist. Wir fördern Ihre berufliche Weiterentwicklung durch gezielte Schulungen und bieten Ihnen die Möglichkeit, an spannenden Projekten in der Kälte- und Klimatechnik zu arbeiten. Zudem profitieren Sie von flexiblen Arbeitszeiten und einem attraktiven Vergütungspaket, das Ihre Leistungen wertschätzt.
