Dein persönlicher KI-Karriere-Agent
Building AI-ready data pipelines for manufacturing at global life science enterprise. Experience with diverse data sources and ETL/ELT required. Hybrid work, variable compensation.
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Anforderungen
- University degree in CS, Data Engineering, Engineering, Mathematics, Statistics, or related
- Practical experience in Data Engineering, Data Analytics, or Software Development
- Experience building scalable data models, architectures, and ETL/ELT pipelines
- Hands-on experience with structured/unstructured data from diverse sources
- Experience developing scripts and tools for data processing/integration
- Strong proficiency in SQL
- Strong proficiency in cloud platforms (AWS)
- Strong proficiency in structured and unstructured data
- Strong proficiency in software development
- Knowledge of distributed systems
- Knowledge of agile software development methodologies
- Ability to collaborate across multiple teams and stakeholders
- Passion for planning and executing data and AI initiatives
- Defining and managing project plans
- Ensuring data availability
- Fluent German language skills
- Fluent English language skills
Aufgaben
- Design, implement, and operate data pipelines for manufacturing data
- Ingest data from MES, SAP, equipment databases, historian systems, applications, and production assets
- Provide quality-assured, contextualized data for downstream systems, data science, and AI use cases
- Act as an AI Ambassador to drive AI adoption in manufacturing
- Create AI-ready data pipelines
- Ensure compliance with pharmaceutical manufacturing, GMP, data, validation, and governance requirements
- Design, develop, operate, and maintain robust data pipelines for manufacturing systems data integration
- Manage and support data store, data lake, and data warehouse environments
- Harmonize and provision manufacturing data using AWS services
- Work with Databricks as a data lake for data science and AI use cases
- Develop program code for large-scale ETL/ELT processes
- Make technology and system decisions for ETL/ELT deployment and operation
- Work with GitHub and established DevOps, version control, and documentation practices
- Design interfaces and perform data transformations using integration platforms like Node-RED
- Design and implement equipment connectivity and interfaces via OPC UA
- Implement associated data pipelines for manufacturing asset integration
- Collaborate with Data Scientists to develop and implement predictive models and advanced analytics
- Promote responsible, user-focused, and compliant AI use in pharmaceutical manufacturing
- Lead and contribute to initiatives integrating AI into manufacturing processes
- Collaborate with internal functions, central platform teams, and the global data science community
- Work with external partners including suppliers, technology providers, universities, consultants, and industry partners
Berufserfahrung
Ausbildung
Sprachen
Tools & Technologien
Benefits
- Variable compensation component
- Hybrid work models
- Part-time arrangements
- Flexible work arrangements
- Company daycare centers
- Childcare support
- Summer camps for children
- Time off for family care
- Learning and development opportunities
- Training programs
- Development dialogues
- Coaching programs
- Mentoring programs
- Health awareness initiatives
- Free health checks
- Self-care opportunities
- Inclusive work environment
Von Nejo automatisch aufbereitet
Nejo hat diesen Job automatisch von der Website des Unternehmens Bayer erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
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