Project Manager Data & Analytics (m/w/d) In Vollzeit
Linde Material Handling
Base: according to metal industry tariff agreement...
Hybrid (flexible working hours and the possibility for remote work)
Python scripting and data pipelines
Data quality assessment and improvement
Nearshore and offshore team coordination
Linde Material Handling is seeking a Project Manager for Data & Analytics who will be responsible for developing data pipelines, ensuring data quality, and leading international teams. The role offers a flexible work environment, competitive compensation, and opportunities for career development within a global company
Job Summary
You will take responsibility for developing and evolving Python scripts, queries, and data pipelines while ensuring high data quality.
The role involves coordinating nearshore and offshore teams independently regarding requirements, prioritization, and timely delivery.
Benefits include an attractive compensation package based on the metal industry tariff agreement with special payments and a performance-related annual bonus.
Matching Summary
Match Score: 85
Linde Material Handling is seeking a Project Manager for Data & Analytics who will be responsible for developing data pipelines, ensuring data quality, and leading international teams. The role offers a flexible work environment, competitive compensation, and opportunities for career development within a global company.
Salary
Base: According to metal industry tariff agreement; Bonus/Equity: Performance-related annual bonus; Benefits: Employer-funded pension, 30 days vacation plus time off days
Skills & Requirements
Must-have
Python scripting and data pipelines
Data quality assessment and improvement
Nearshore and offshore team coordination
Microsoft tools for reporting
Engineering or Computer Science degree
Nice-to-have
Cloud platform experience
BI platform familiarity
Change management context
International team collaboration
Data-driven optimization ideas
Key Requirements
Degree in Engineering, Computer Science, or Business Informatics
Several years of experience in engineering, IT, or data projects
Solid understanding of analytics and data science concepts