Your task:
Coordinate item renumbering across divisions to resolve overlaps and maintain data integrity
Support proper classification of new (and potentially existing) items according to agreed taxonomies
Ensure no new items are created outside controlled number ranges; set up corresponding checks and alerts
Assist with data cleansing and migration tasks
Create simple documentation and guidance materials for Data Stewards
Conduct data profiling, lifecycle checks, and duplicate detection
Write scripts (SQL required, Python preferred) to automate quality checks and data cleanups
Generate weekly progress reports and support transformation rules (e.g., item code formatting)
Collaborate closely with Data Stewards, CIM Team Lead, and the Global Data Architect
Your profile:
Proven experience in data engineering or master data management (MDM), ideally in manufacturing or engineering environments
Strong technical skills in SQL (mandatory); Python is a plus
Familiarity with classification frameworks and taxonomy enforcement
Detail-oriented, methodical, and hands-on working style
Fluent in English (spoken and written); German is an advantage
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