(Senior) Data Engineer - Data Analytics & AI (f/m/d)

Innovations bring profound changes and influence our lives in a variety of ways. At TÜV SÜD, we strive to be an important part of this development and progress. We are here from the beginning and accompany this process. We ensure a safe and sustainable future and create confidence in new technologies. We advise, we check, we certify. For the safety of people and society, we are asking ourselves out every day. We act out of conviction, already today shape the world of tomorrow – set signs. We take the future into our hands. We're TÜV SÜD. TÜV SÜD has been synonymous with safety, quality and sustainability since 1866 and is today an international service group with 30,000 employees worldwide. Independently and objectively, TÜV SÜD ensures consumer confidence. If you want to shape the future with us, we look forward to your application at our Munich location.

Design and implementation data pipelines for ingesting, transforming, and enriching structured and unstructured content at scale, optimal technologies Build and maintain secure, high end performance backend services and APIs that power document analytics and GenAI applications Collaborate with data scientists to productionize AI prototypes and integrate them into enterprise-ready solutions including deployment automation, monitoring and cycle management Integrate diverse data sources from internal databases, file systems, and third-party systems into the document analytics platform ensuring data quality, compliance and schema evaluation best Contribute to the architecture of scalable, modular components supporting multi-tenant, cross-business-unit deployment Implement monitoring, logging, and alerting mechanisms to ensure the reliability and observability of data and AI services Establish engineering best practices and contribute to CI/CD workflows across data pipelines and application services Participate in technical discussions and design reviews to align engineering efforts with product and platform goals

Successfully completed university degree in Computer Science or a comparable qualification At least 3 years of professional experience in software development with Python including hands on experience with data processing frameworks Demonstrated expertise in designing scalable software architectures and applying design patterns, with strong familiarity with modern software 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 is a strong advantage Strong analytical and problem-solving skills, with the ability to work independently and collaboratively in a cross-functional team English and German Proficiency

Join Our Team! We are looking for you! In addition to a secure job in a pleasant and collegial atmosphere, we offer you an and international work environment. We embrace flat hierarchies and an open-door policy. In addition, you will have access to a wide range of internal and external training opportunities for your professional and personal development. Mobile working is possible within the framework of our company regulation. Flexible working hours, social benefits, and a high degree of independent work complete our offer. JOBV1_EN