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Data Engineer – Zürich | JobRevolt

Über den Job

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.

Aufgaben

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.

Profil

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 (fluent) and English, both spoken and written.

Rahmenbedingungen

Full-time (100%)
Languages: (fluent), English (fluent)

Data Engineer

Über den Job

Über den Job

Aufgaben

Profil

Rahmenbedingungen

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