Job
- Level
- Experienced
- Location
- Sprendlingen
- Working Model
- Hybrid, Onsite
- Job Field
- BI, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
Job Summary
In this role, you will develop our data and AI strategy, design the architecture of a central data platform, and collaborate with business units to create data models and governance frameworks.
Job Technologies
Your role in the team
- Shape the strategy: develop our data and AI strategy and roadmap, aligned with our business and IT strategy.
- Design the architecture: define our target data architecture and the standards for data integration, storage, modelling and access.
- Build the platform: design a central data platform (data warehouse or lakehouse) and build it step by step, prioritised by business value.
- Create a single source of truth: define data models, KPIs and master data together with our business units.
- Establish data governance: set up data ownership, data quality rules, metadata and access management.
- Connect the systems: design and oversee the interfaces between our source systems and the data platform.
- Bring AI to life: identify, evaluate and prioritise AI use cases, then take the best ones from proof of concept to stable operation.
- Stay compliant: make sure our solutions meet GxP, GDPR, EU AI Act and information security requirements.
- Steer partners: select technologies and external partners and lead implementation projects.
- Build know-how: advise management, train key users and grow data and AI skills across the organisation.
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Our expectations of you
Education
- A degree in computer science, data science, business informatics, engineering or a related field.
Qualifications
- Solid knowledge of modern data architectures (data warehouse, lakehouse, data mesh) and cloud data platforms.
- Strong skills in data modelling, data integration (ETL/ELT, APIs) and SQL.
- Practical knowledge of machine learning and generative AI (e.g., large language models), including their limits and risks.
- The ability to turn business needs into architecture, and to explain complex topics clearly to non-technical colleagues.
- Sehr gutes Englisch; Deutschkenntnisse sind ein Plus.
- A structured, hands-on and independent way of working.
Experience
- Several years of experience in data architecture, data engineering or BI, including designing and implementing data platforms.
- Experience with data governance, master data management and data quality.
- Experience with reporting and analytics tools and with enabling self-service analytics.
- Knowledge of data protection and information security; experience in regulated environments (e.g. GxP) is a plus.
- Experience leading projects and managing external partners.
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What we offer
- Real impact: you'll build our data landscape from the ground up, not just maintain it.
- Visibility: you'll work directly with management and across all business units.
- Entrepreneurial environment: short decision paths and room to shape things, backed by a strong international group.
- A meaningful industry: your work supports the safe production of medicines and high-tech products.
- Optimal start: A comprehensive, individually tailored onboarding program for an excellent start.
- Flexibility: 30 vacation days per year and the option to work remotely part of the time.
- Benefits: Lease bike for private use, company pension plan, childcare subsidy, training and development opportunities, employee events, discounted employee conditions at well-known online shops.
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Benefits
Work-Life-Integration
Health, Fitness & Fun
Topics You Will Work On
Job Locations
About Your Employer
CWS International
At CWS, we are committed to creating a healthier and safer future. We believe in this vision and work hard every day to make it a reality. Our sustainable innovations are setting new standards: our business model has always been based on the idea of reusable products and renting instead of buying. In the future, our holistic system solutions will provide even more health, safety, and protection.
Description
- Language
- English
- Company Type
- Established Company
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Logistics, Transportation
Data & AI Architect
- Location
- Sprendlingen
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
