Working at Freudenberg: We will wow your world!
Responsibilities:
1. Design and implementation of scalable data architectures
2. Building and maintaining Data Lakes and Data Warehouses
3. Designing/developing and optimizing data pipelines and data models for production, logistics, and supply chain data
4. Ensuring data quality and integrity across multiple systems
5. Integrating streaming and batch data for operational processes (production, logistics, supply chain)
6. Selecting and integrating modern technologies (cloud, data lake, streaming, ETL)
7. Collaborating with Data Engineers, analysts, and business stakeholders to deliver end-to-end data solutions
8. Establishing best practices for cloud data architectures and security
9. Communicating results and best practices to technical and non-technical stakeholders at various organizational levels
Qualifications:
10. University degree in Computer Science, Business Informatics, Data Science, or a comparable qualification
11. Several years of experience as a Data Architect or in a similar role
12. Strong knowledge of data modeling, data integration, and database technologies (SQL, NoSQL)
13. Experience with cloud platforms - particularly Azure - as well as cloud-native technologies, ETL processes, and big-data technologies (e.g., Databricks)
14. Understanding of operational processes (production, logistics, supply chain) and their data requirements
15. Knowledge of CI/CD, Infrastructure as Code (e.g., Terraform, ARM Templates), and experience with DevOps/MLOps is a plus
16. Strong analytical skills, solution-oriented mindset, excellent communication abilities, and a collaborative working style