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• As Data Engineer (m/f/d) in our product team Feedback Management, you play a key role in building data products around customer feedback (e.g. product reviews)
• You develop, operate and monitor ETL/ELT processes
• You automate and optimize data flows

• Take ownership of global Lead & Pipeline Management processes with a focus on CRM-related workflows and continuous process maturation
• Drive global maturity, scalability, automation and optimization of Lead Management processes across regions and business units

• Support in administrative tasks and get to know everyday processes
• Support in the organization, planning alignments internally
• Support in performing customer verification, liaison with local markets, update requirement documents and support in specific projects

• You are fully independent within our codebase.
• You ship complex tasks, weigh technical tradeoffs against business timelines and perform sharp code reviews that elevate your peers' implementations.
• You provide strategic insights to platform team leadership.

• Build Data Pipelines: Design, build, and maintain scalable data pipelines for ingesting, transforming, and serving financial and operational data.
• Work with ERP Data: Integrate and model data from ERP systems and finance tools, including accounting, controlling, procurement, revenue, and cost data.

• Work with a wide range of systems, processes and technologies to own and solve problems from end-to-end
• Uphold high engineering standards and bring consistency to the many codebases and processes you will encounter
• Work with engineers across the company to build new features at large-scale

• Creation and maintenance of user centered hardware and software documentation as well as user interface texts in English.
• Close collaboration with product managers and engineers to understand product functionality and user needs.
• Active participation in agile Scrum teams.

• Leading and developing the Technical Process Consulting team (approx. 8–10 people) across the streams: Source‑to‑Pay, Record‑to‑Report, Plan‑to‑Produce, Plan‑to‑Maintenance, and Order‑to‑Cash
• Steering the transition from the QIAbase project into stable CoE processes and structures

Develop innovative business data and analytics concepts, strategies, and solutions for our industrial clients in both national and international contexts...

Develop innovative business data and analytics concepts, strategies, and solutions for our industrial clients in both national and international contexts...

Develop innovative business data and analytics concepts, strategies, and solutions for our industrial clients in both national and international contexts...

Develop innovative business data and analytics concepts, strategies, and solutions for our industrial clients in both national and international contexts....

Develop innovative business data and analytics concepts, strategies, and solutions for our industrial clients in both national and international contexts...

Develop innovative business data and analytics concepts, strategies, and solutions for our industrial clients in both national and international contexts....

Develop innovative business data and analytics concepts, strategies, and solutions for our industrial clients in both national and international contexts....

Develop innovative business data and analytics concepts, strategies, and solutions for our industrial clients in both national and international contexts....

• Help establish yourself as a key contact for AI-related topics at customers
• Support the design of SAP Business AI architectures aligned with customer business strategy
• Develop AI Strategies for our customers
• Translate strategic AI initiatives into measurable business value

As a research engineer in the semantic understanding and reasoning group (CR/AIR4) at Bosch Corporate Research, you will develop the next generation of agentic AI systems based on reinforcement learning, with a primary focus on applications in systems engineering. Your work will address how...

As a research engineer in the semantic understanding and reasoning group (CR/AIR4) at Bosch Corporate Research, you will develop next-generation methods for training large behavior models for intelligent cyber-physical systems. Your work will focus on how large-scale AI models can acquire robust,...

End-to-End Data Lifecycle Ownership: Lead the design and implementation of tracking strategies that cover the entire lifecycle: from initial requirements gathering to Generation, and finally to automated Validation....