You oversee data stewardship and engineering solutions, ensuring data quality and transforming raw data into valuable insights for manufacturing operations.
Anforderungen
- •University degree in Business Informatics
- •Broad experience in orchestrating data
- •Proven ability to maintain master data
- •Knowledge for improving data quality
- •Ability to align data stewardship initiatives
- •Proficiency in Python, SQL, and Spark
- •Experience in battery cell industry
- •High self organization
- •Motivation to build a data-driven organization
Deine Aufgaben
- •Design and implement data stewardship solutions.
- •Build robust data pipelines for manufacturing.
- •Organize and oversee critical manufacturing data domains.
- •Ensure consistency with factory operations.
- •Transform raw production data into actionable assets.
- •Clean, structure, and contextualize raw data.
- •Maintain and map master data for analytics.
- •Design systems to monitor and validate data quality.
- •Continuously improve data quality and integrity.
- •Analyze data to identify operational insights.
- •Evaluate data availability and quality for optimization.
Deine Vorteile
Flexible working hours
4-day work week option
30 days paid leave
10 days unpaid leave
Mobile work options
Relocation support
Additional benefits to come
Original Beschreibung
Date:
Jun 13, 2025
Location:
Salzgitter, DE
Level of Experience:
Professionals
Job Function:
Logistics
Job ID:
3472
# Expert Manufacturing Data Steward (all genders)
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| **Your role and key responsibilities** |
| * Design & implement data stewardship and engineering solutions: Build robust data pipelines and stewardship frameworks tailored to the unique demands of battery cell manufacturing. * Organize manufacturing data domains: Oversee critical data domains to ensure consistency and alignment with factory operations. * Transform raw data into actionable assets: Clean, structure, and contextualize raw production data; maintain and map master data to create reliable, reusable data products for analytics, AI, and operational use cases. * Ensure data quality & integrity: Design systems and structures to monitor, validate, and continuously improve data quality * Analyze data for operational insights: Evaluate data availability and quality to identify gaps, optimize data flows, and support data-driven decision-making |
| **What you bring to the team** |
| * University degree in Business Informatics, Data Science, Computer Science, Manufacturing Engineering, Industrial Engineering, or a related field * Broad experience in orchestrating data across centralized and decentralized organizational units, with a focus on data ownership, lifecycle management, and governance * Proven ability to maintain, map, and contextualize master data * Knowledge for designing and implementing systems to monitor, validate, and improve data quality across the factory landscape * Ability to align data stewardship initiatives with long-term manufacturing goals * Proficiency in Python, SQL, and Spark to build scalable data pipelines |
| **What makes you stand out** |
| * Experience in battery cell industry and process industry * High self organization * Motivation to build a modern, data-driven business organization |
| **What to look forward to** |
| * Flexible working hours from 28 to 40h per week * Possibility of a 4-day-week (up to 35h per week) * 30 days paid + 10 days unpaid leave * Mobile work options * Relocation support * More benefits to come |
## Diversity, Equity and Inclusion
We believe that the best results are created in a diverse and inclusive environment.
Therefore, all qualified applications will be considered for employment regardless of age, race, religion, gender (identity), sexual orientation, national origin or disability.