Senior Data Platform Engineer - Azure & AI

IIC-INTERSPORT International Corporation GmbH; Bern; Vor Ort; CHF 120.000 - 180.000; Vollzeit

Zusammenfassung

IIC-INTERSPORT International Corporation GmbH is seeking a Senior Platform Data Engineer to design, build and operate INTERSPORT's Group Data Platform and trusted retail data products powering reporting, analytics and AI across the business.

You will collaborate with data analysts and business stakeholders to transform Sell-Out, Sell-In and Stock data into actionable insights, enabling better decision-making and more efficient commercial operations.

Qualifikationen

• Five to eight years progressive experience in data engineering or closely related technical role.
• Ownership of production data pipelines across the full lifecycle (requirements to deployment and support).
• Experience in a multi-stakeholder environment with analysts, business users, IT and external providers.
• Retail, consumer goods, international organisations or SAP transformation experience is advantageous.

Aufgaben

• Design, build and operate scalable data platform solutions in Microsoft Fabric and Azure.
• Create reusable ETL/ELT pipelines across SAP, databases, APIs and file data.
• Deliver governed data products for Sell-Out, Sell-In, Stock reporting and analytics.
• Embed data quality, governance, lineage and metadata into production pipelines.
• Provide technical leadership, collaborate with cross-functional teams and set engineering standards.

Kenntnisse

Microsoft Fabric

Azure data services

Python

PySpark

SQL

ETL/ELT pipelines

Power BI

SAP integration

Ausbildung

Degree in Computer Science or related

Tools

Git

CI/CD

Monitoring tools

OneLake

Azure

Jobbeschreibung

IIC-INTERSPORT International Corporation GmbH is seeking a Senior Platform Data Engineer to design, build and operate INTERSPORT's Group Data Platform and trusted retail data products powering reporting, analytics and AI across the business.

You will collaborate with data analysts and business stakeholders to transform Sell-Out, Sell-In and Stock data into actionable insights, enabling better decision-making and more efficient commercial operations.