Senior Data Engineer

Job Requirements Experience: 4 - 6 Years

Key Responsibilities

• Knowledge Base (KB) Creation, Maintenance, Cleansing & Localization Validation
• Master the KB, include creating KB specification according to offer structures and implement modularized configurations in SAP (VC – Variant Configuration)
• Drive KB cleansing initiatives for technical accuracy, resolve inconsistencies, remove redundant logic and eliminate obsolete logic to maintain selector reliability.
• Validate localized KB versions for regional accuracy and compliance.
• Support on creation of robust specifications process
• Update existing Offer Logic technical specifications and collaborate with the KB owners to design, draft, and refine specifications
• Ensure consistency between specification documents and live KB content to eliminate logic discrepancies.
• Product Code & Testing Support
• Troubleshoot and resolve product code issues, configuration conflicts caused by Cortec code escalated by regional teams or customers.
• Execute specialized testing activities, including reload testing, integration testing, and UAT for product code deployments.
• Process & Technical Documentation
• Create, update, and maintain end-to-end Offer Logic process documentation (eg, workflow diagrams, rule guides, and troubleshooting manuals)
• Ensure documentation is accessible, up-to-date, and aligned with global standards
• MTZ Selector Simplification & Marketing Alignment
• Support the simplification of MTZ KB selector structure, collaborating closely with the internal teams to align changes with the Marketing Mix project
• Cross-Team Support & Deployment Assistance
• Work with the Platforms & Architecture team (CRMS, Select & Config team) to locate the issues and find a solution
• Provide support for selector-related queries, ensuring good customer experience for Product Selector

Work Experience Required Experience

• Proven expertise in KB design/ maintenance, modularization of configurations in SAP (VC – Variant Configuration)
• Coding and logic-building skills for troubleshooting and script adjustments
• Proficiency in scripting languages (e.g., JavaScript, Python, or proprietary configurator languages)
• Strong understanding of offer logic rules, marketing rules, and technical assembly rules
• Familiarity with data science fundamentals and enterprise data system management.
• Working knowledge of supply chain data flows (SAP, Bridge, Sysconf) and digital selector integrations (web publication, MySchneider, order systems).
• Experience collaborating with Data Architects and cross-functional teams to ensure overall consistency.