Senior Data Engineer

Randstad; Zürich; Hybrid; CHF 120.000 - 170.000; Vollzeit

Zusammenfassung

Randstad is seeking two experienced Data Engineers to own end-to-end Azure-based data solutions for reporting, analytics, and invoicing within our RAH. You will translate business needs into scalable architectures, integrating SAP interfaces, and delivering Power BI reports.

You should bring senior data engineering experience in enterprise environments, deep Azure and PySpark skills, and strong knowledge of data modelling, streaming, and invoicing workflows.

Qualifikationen

• Senior data engineer with enterprise-scale experience.
• Strong Azure Data Platform and PySpark development.
• Knowledge of scalable reporting architectures and invoicing data.
• Experience with streaming data and event-driven systems (Kafka).
• Proficient in Power BI analytics and reporting.

Aufgaben

• End-to-End Solution Ownership: Drive reporting, analytics, and invoicing capabilities within RAH across the project lifecycle.
• Data Architecture & Modelling: Design scalable enterprise data models for reporting and invoicing workflows.
• Azure & PySpark Engineering: Build and maintain cloud-native data pipelines via PySpark and Azure Data Platform.
• Data Integration & Streaming: Ingest and process structured and streaming data via sFTP, Kafka, event-driven architectures.
• Invoicing & SAP Enablement: Support invoicing processes and interfaces toward SAP systems.
• Reporting & Stakeholder Collaboration: Deliver reporting solutions using Power BI with requirements engineers and stakeholders.

Kenntnisse

Senior data engineer

Azure

PySpark

Data modelling

Invoicing domain

Kafka

Power BI

German

English

Tools

Azure Data Platform

PySpark

Kafka

Power BI

Jobbeschreibung

• Type: Temporary
• Runtime: 12 month
• Homeoffice: hybrid model, 2-3 days onsite

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 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.

We look forward to receiving your application!