The AI Job Search Engine
AI Data Engineer - SAP-RPT Model Family(m/w/x)
Description
Building end-to-end data pipelines and complex extractions for research-grade datasets at global software provider. Deep understanding of S/4HANA backend and Data Dictionary required. Flexible working models, focus on health and well-being.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •Master’s degree in Computer Science, Artificial Intelligence, or relevant disciplines
- •Understanding of SAP S/4HANA backend, data model, and Data Dictionary
- •Advanced software engineering skills in Python and SQL proficiency
- •Knowledge in cloud stack and large-scale data handling (plus)
- •Experience with data modelling, ABAP, Machine Learning, or Knowledge Graphs (plus)
- •At least 2 years of professional experience
- •Strong communication, coordination, and collaboration skills
- •Ability to work effectively in cross-cultural teams
Education
Work Experience
2 years
Tasks
- •Build and scale technical AI foundations
- •Develop high-quality end-to-end data pipelines
- •Execute complex data extractions
- •Engineer high-value datasets for research
- •Bridge gaps between raw data and research
- •Develop tools for curating data assets
- •Refine data assets for maximum performance
- •Ensure compliance and data integrity
- •Manage tools for large-scale tabular data
- •Extract and clean data from various sources
- •Enrich and analyze source data
- •Prepare training and benchmark data
- •Interpret data and metadata with experts
- •Collaborate with S/4HANA development teams
- •Share data insights with data scientists
- •Tailor models to SAP enterprise data
Tools & Technologies
Languages
English – Business Fluent
Benefits
Learning & Development
- •Constant learning
- •Skill growth
Informal Culture
- •Culture of inclusion
Healthcare & Fitness
- •Focus on health and well-being
Flexible Working
- •Flexible working models
Ergonomic Workplace
- •Accessibility accommodations
- SAPFull-timeOn-siteExperiencedGarching bei München
- SAP
Lead Research Engineer - Foundation and World Models on Structured Data(m/w/x)
Full-timeOn-siteSeniorGarching bei München - SAP
Lead Research Engineer: Foundation and World Models on Structured Data(m/w/x)
Full-timeOn-siteSeniorGarching bei München - SAP
SAP AI Engineering Architect(m/w/x)
Full-timeOn-siteSeniorMünchen - SAP
(Senior) Research Engineer - Foundation and World Models on Structured Data(m/w/x)
Full-timeOn-siteSeniorGarching bei München
AI Data Engineer - SAP-RPT Model Family(m/w/x)
The AI Job Search Engine
Description
Building end-to-end data pipelines and complex extractions for research-grade datasets at global software provider. Deep understanding of S/4HANA backend and Data Dictionary required. Flexible working models, focus on health and well-being.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •Master’s degree in Computer Science, Artificial Intelligence, or relevant disciplines
- •Understanding of SAP S/4HANA backend, data model, and Data Dictionary
- •Advanced software engineering skills in Python and SQL proficiency
- •Knowledge in cloud stack and large-scale data handling (plus)
- •Experience with data modelling, ABAP, Machine Learning, or Knowledge Graphs (plus)
- •At least 2 years of professional experience
- •Strong communication, coordination, and collaboration skills
- •Ability to work effectively in cross-cultural teams
Education
Work Experience
2 years
Tasks
- •Build and scale technical AI foundations
- •Develop high-quality end-to-end data pipelines
- •Execute complex data extractions
- •Engineer high-value datasets for research
- •Bridge gaps between raw data and research
- •Develop tools for curating data assets
- •Refine data assets for maximum performance
- •Ensure compliance and data integrity
- •Manage tools for large-scale tabular data
- •Extract and clean data from various sources
- •Enrich and analyze source data
- •Prepare training and benchmark data
- •Interpret data and metadata with experts
- •Collaborate with S/4HANA development teams
- •Share data insights with data scientists
- •Tailor models to SAP enterprise data
Tools & Technologies
Languages
English – Business Fluent
Benefits
Learning & Development
- •Constant learning
- •Skill growth
Informal Culture
- •Culture of inclusion
Healthcare & Fitness
- •Focus on health and well-being
Flexible Working
- •Flexible working models
Ergonomic Workplace
- •Accessibility accommodations
About the Company
SAP
Industry
IT
Description
SAP innovations help over four hundred thousand customers worldwide work together more efficiently and use business insight more effectively.
- SAP
AI Data Engineer - SAP-RPT Model Family(m/w/x)
Full-timeOn-siteExperiencedGarching bei München - SAP
Lead Research Engineer - Foundation and World Models on Structured Data(m/w/x)
Full-timeOn-siteSeniorGarching bei München - SAP
Lead Research Engineer: Foundation and World Models on Structured Data(m/w/x)
Full-timeOn-siteSeniorGarching bei München - SAP
SAP AI Engineering Architect(m/w/x)
Full-timeOn-siteSeniorMünchen - SAP
(Senior) Research Engineer - Foundation and World Models on Structured Data(m/w/x)
Full-timeOn-siteSeniorGarching bei München