(Senior) Data Engineer - Data Analytics & AI | (Senior) Data Engineer - Data Analytics & AI (f/m/d)
TÜV SÜD AG
Job Summary
This role involves designing and implementing robust data pipelines for ingesting, transforming, and enriching both structured and unstructured content at scale. The successful candidate will build and maintain secure, high-performance backend services and APIs to power document analytics and Generative AI applications. A key aspect of the role is collaborating with data scientists to productionize AI prototypes, integrating them into enterprise-ready solutions with deployment automation, monitoring, and lifecycle management. The position also requires integrating diverse data sources, contributing to scalable architectural components, and establishing engineering best practices, including CI/CD workflows, to ensure the reliability and observability of data and AI services within a multi-tenant, cross-business-unit environment.
Required Skills
Education
University degree in Computer Science or comparable qualification
Experience
- At least 3 years of professional experience in software development with Python
- Hands-on experience with data processing frameworks
- Demonstrated expertise in designing scalable software architectures and applying design patterns
- Strong familiarity with modern software engineering practices
- Hands-on experience with Microsoft Azure cloud services, including Azure DevOps and related tooling
- Experience in building data processing pipelines and integrating Data Science or AI solutions into production environments (strong advantage)
Languages
Additional
- Not specified
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