Technical Lead / Technical Product Owner - Data Pipeline (f/m/div.)

About the Role

As part of our team, you will own technical integrity and delivery outcomes from ingestion through processing, curation, and delivery, while defining explicit data contracts, quality criteria, reproducibility, and acceptance evidence.In the technical lead focus, you will take ownership of architecture, critical implementation, dataset versioning, and lineage. You demonstrate correctness, partial-failure recovery, and repeatable deployment under realistic workloads.Additionally, you will drive measured throughput, reliability, and cloud-cost performance. Together with the product owner, you establish workload budgets, diagnose regressions, and demonstrate the impact of optimizations through comparable runs.With a technical product owner focus, you will own requirements, backlog priorities, and release-readiness decisions. You resolve stakeholder trade-offs using data-quality evidence, operating constraints, and measured outcomes. You ensure access controls are implemented and verified in line with agreed privacy and retention requirements. You preserve evidence linking requirements, configurations, tests, and releases.Within our Agentic AI Software Factory, you will use coding agents for implementation, test generation, review preparation, and documentation. You validate their output through reproducible checks and human review while preserving traceability, with controlled access to code and data.Education: completed Bachelor’s or Master’s degree in Computer Science, Data Engineering, Software Engineering or a related fieldExperience and Knowledge:personal ownership of complex production data delivery with measured outcomesstrong Python/SQL skills within the technical lead focus, including distributed processing, pipeline architecture and implementation, observability and failure recoverydemonstrated ownership within the technical product owner focus of data-product requirements, prioritization, acceptance criteria and release decisions, with depth to challenge architecture, quality and operational constraintsstrong understanding across both tracks of data contracts, lineage, reproducibility, access controls, cloud cost and reliabilitysubstantiated experience in at least one track through personal decisions or implementations, including a difficult failure or trade-off; general coordination or backlog administration alone is insufficientrelevant experience with technologies such as Python, SQL, object storage, workflow orchestration, data catalogs, infrastructure as code and CI/CDPersonality and Working Practice: you bring technical rigor and a strong sense of ownership, making decisions explicit while challenging assumptions and balancing technical ambition with dependable data deliveryEnthusiasm: for data infrastructure that makes robot learning experiments and customer deliveries reproducibleLanguages: very good spoken and written German and Englishhttps://www.bosch-ai.com www.bosch.com/researchAs a global company, we are legally required to comply with applicable EU and U.S. (re-)export control and sanctions regulations. This means that for certain, particularly sensitive positions, we may only hire individuals who have undergone an additional legal screening. This position is one such sensitive role. We will therefore ask you for additional information required for this screening as the application process continues. You can find information about the processing of your data in our Privacy Notice for the application process. Permanent, open-ended position in the engineering organization for Robert Bosch Robotics GmbH. Apply with your CV, preferred focus and a production data case showing your personal implementation or product decisions, rejected alternatives, acceptance evidence and measured outcomes. Anonymized accounts are accepted. We offer flexible working models: from part-time options to mobile working and job sharing. Diversity and inclusion are firmly anchored in our culture.Need support during your application? Meltem Rudolph (Human Resources) +49 174 1744961 Need further information about the job? Jan Schneider-Kraus (Functional Department) +49 172 9749480Work #LikeABosch starts here: Apply now!