More jobs:
Data Engineer
Job in
Zürich, 8081, Zurich, Kanton Zürich, Switzerland
Listed on 2026-10-05
Listing for:
Randstad Group
Full Time
position Listed on 2026-10-05
Job specializations:
-
Software Development
Data Engineering
Job Description & How to Apply Below
Capacity:
Full-time (100%)
Languages:
German (Very Well), English (Very Well)
We are looking for two experienced Senior 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.
YourResponsibilities
- 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.
- Senior Data Engineering
Experience:
Proven track record as a Senior 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.
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