Your contribution to something big:
- Architect and Innovate Data Pipelines: Design build and maintain highly performant and resilient data pipelines on our Data Platform.
- Master Data Modeling: Develop and refine stable data models ensuring data integrity accessibility and optimal structure for complex analysis and reporting also including AI use cases.
- Cross-Functional Collaboration: Act as technical expert guiding other departments in integrating their data and use cases onto the data platform. Youll share best practices set high standards and enable our partners to maximize their datas potential.
Qualifications :
What distinguishes you:
- Cloud Data Engineering Expertise: You possess hands-on experience with a comprehensive suite of cloud data tools including Python Spark SQL Databricks Synapse Azure Data Factory and Azure Purview.
- DevOps: A strong understanding of DevOps principles is essential for our agile development environment.
- Growth Mindset: Youre a problem-solver and adapt to new technologies rapidly
- Collaborative Communicator: You excel in an international team setting and sharing knowledge effectively
- Academic Foundation: A relevant university degree (e.g. Computer Science Business Informatics Software Engineering) providing a strong theoretical and practical base.
Additional Information :
Work #LikeABosch means:
Flexible work conditions
Hybrid work system
Exchange with colleagues around the world
Health insurance and medical office on site
Training opportunities
Opportunities for career progression and continuous professional development
Access to great discounts in partnerships and Bosch products
Sports and health related activities
Great access to public transports
Free parking lot
Canteen
Success stories dont just happen. They are made...
Make it happen! We are looking forward to your application!
Remote Work :
No
Employment Type :
Full-time
Your contribution to something big: Architect and Innovate Data Pipelines: Design build and maintain highly performant and resilient data pipelines on our Data Platform.Master Data Modeling: Develop and refine stable data models ensuring data integrity accessibility and optimal structure for complex...
Your contribution to something big:
- Architect and Innovate Data Pipelines: Design build and maintain highly performant and resilient data pipelines on our Data Platform.
- Master Data Modeling: Develop and refine stable data models ensuring data integrity accessibility and optimal structure for complex analysis and reporting also including AI use cases.
- Cross-Functional Collaboration: Act as technical expert guiding other departments in integrating their data and use cases onto the data platform. Youll share best practices set high standards and enable our partners to maximize their datas potential.
Qualifications :
What distinguishes you:
- Cloud Data Engineering Expertise: You possess hands-on experience with a comprehensive suite of cloud data tools including Python Spark SQL Databricks Synapse Azure Data Factory and Azure Purview.
- DevOps: A strong understanding of DevOps principles is essential for our agile development environment.
- Growth Mindset: Youre a problem-solver and adapt to new technologies rapidly
- Collaborative Communicator: You excel in an international team setting and sharing knowledge effectively
- Academic Foundation: A relevant university degree (e.g. Computer Science Business Informatics Software Engineering) providing a strong theoretical and practical base.
Additional Information :
Work #LikeABosch means:
Flexible work conditions
Hybrid work system
Exchange with colleagues around the world
Health insurance and medical office on site
Training opportunities
Opportunities for career progression and continuous professional development
Access to great discounts in partnerships and Bosch products
Sports and health related activities
Great access to public transports
Free parking lot
Canteen
Success stories dont just happen. They are made...
Make it happen! We are looking forward to your application!
Remote Work :
No
Employment Type :
Full-time
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