1429 English-speaking jobs in Munich

Define and govern end-to-end SAP BW/HANA data architecture for enterprise analytics. Responsibilities include designing data models, driving BW to HANA/BW/4HANA transformation, and architecting data ingestion frameworks. Requires SAP BW 7.x/BW/4HANA and SAP HANA skills.

Lead SAP Data Migration Technical Lead to manage repeatable data load processes. Responsibilities include ETL design, data profiling, mapping, and executing loads using ABAP or SAP tools. Own migration strategy and ensure data accuracy.

Principal Consultant for SAP EWM. Anchor engagement from process consulting to solution design and deployment. Lead SAP EWM implementation, configuration, and integration with other SAP modules.

Lead end-to-end design and delivery of enterprise solutions on SAP BTP. Expertise required in SAP Build Process Automation, Process Visibility, CAP, and SAP Fiori/UI5. Integrate S/4HANA and non-SAP systems.

Lead end-to-end delivery of Oracle EBS programs, managing scope, budget, and risks for large-scale transformations. Oversee Finance and SCM modules across global implementations.

Design and govern end-to-end SAP MDG solutions within S/4HANA environments. Define MDG architecture, data governance strategy, and build scalable workflows for domains like Business Partner and Materials.

Principal SAP PS Consultant responsible for system setup per design, including customizations, functional specs, test scripts, and UAT. Requires strong PS knowledge in Customer Project scenarios and Agile methodology.

Lead workshops to understand business requirements and configure SAP IBP solutions. Requires minimum 2 life cycle implementation experience in SAP IBP modules. Prior SAP APO experience is an advantage.

Drives exponential channel sales growth by developing programs and managing the partner lifecycle. Own the Channel Program end-to-end, streamlining global processes and leading cross-regional enablement.

Lead complex cross-functional development projects involving hardware and software. Drive strategic initiatives, manage dependencies, and improve project management processes while mentoring other Technical Project Managers.

Principal Forward Deployed Architect leads strategic AI engagements, defining enterprise AI architectures. Expertise required in LLMs, RAG, Knowledge Graphs, SAP BTP, and leading cross-functional teams.

Lead complex data science and applied AI initiatives, translating business strategy into scalable analytical solutions within customer environments. Act as a technical authority, guiding stakeholders on advanced modeling and AI implementation.

Lead and build the applied science team for Multi-Modal Industry Foundation Models. Set technical rigor, drive research roadmaps, and deliver models for structured business data. Requires relevant advanced degree and strong scientific track record.

Design, build, and deploy AI-native data and application solutions within customer environments. Act as chief technical authority, defining architecture and strategy for complex, business-critical applications. Requires 8+ years in AI native application or software engineering.

Provide technical leadership for strategic AI engagements, defining enterprise AI architectures. Lead delivery teams across AI agents, RAG, Knowledge Graphs, and cloud platforms using SAP AI Core and BTP.

Senior Researcher to pioneer advances in foundation and world models on structured business data. Develop novel architectures, create benchmarks, and translate research into publications. Requires PhD and expertise in ML on structured data.

Contribute to designing and developing AI-native enterprise applications using Python and cloud-native environments. Focus on integrating LLMs, RAG pipelines, and agent-based components for real-world business problems.

Tech Lead & Staff Scientist to define and prototype a composable, multi-modal architecture for foundation models focusing on semi-structured data like text or code. Requires strong expertise in LLMs and ML frameworks.

Build data foundations for SAP's Knowledge Graphs by designing pipelines to ingest and transform structured/unstructured business data into RDF KGs. Map data to ontologies and develop SPARQL transformations.

Contribute to pioneering technical advances combining Knowledge Graphs and Large Language Models, including hands-on work on agentic workflows. Requires PhD/Master's in relevant fields and experience with KGs and LLMs.