SAP
AI Data Lead - SAP-RPT Model Family(m/w/x)
Full-timeWith HomeofficeSenior
Garching bei München
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SASAP
AI Data Engineer with SAP S/4 Skills(m/w/x)
Garching bei München
Full-timeWith Home OfficeExperienced
AI/ML
Data Science
Nejo AI Summary
Building AI data pipelines for SAP S/4HANA backend and data models. Advanced Python and SQL skills required. Company car for private use, 6 weeks vacation.
Requirements
- Master’s degree in Computer Science, Artificial Intelligence, or relevant disciplines
- Generic understanding of ABAP, SAP S/4HANA backend and data model
- Advanced software engineering skills in Python
- Proficiency in SQL
- Hands-on knowledge in cloud stack (AWS, GCP, or Azure)
- Handling large-scale data (>1M files; >10TB volume)
- Experience with data modelling
- Experience with ABAP
- Experience with Machine Learning
- Experience with Knowledge Graph technologies (e.g., RDF, SPARQL)
- Experience in SAP consulting
- Strong communication skills
- Strong coordination skills
- Strong collaboration skills
- Ability to work effectively in cross-cultural teams
Tasks
- Build and scale technical foundations for AI innovations
- Develop end-to-end data pipelines
- Execute complex data extractions
- Engineer high-value datasets for model research
- Focus on tooling and pipelines for data curation
- Refine data assets for utility and performance
- Ensure datasets adhere to compliance and data integrity
- Design, develop, and manage data processing tools
- Process tabular data at scale
- Extract data from various sources
- Clean data from various sources
- Enrich data from various sources
- Analyze data from various sources
- Ensure high data quality
- Utilize data for training and benchmarking
- Understand and interpret data with domain experts
- Interpret metadata with domain experts
- Interpret development artifacts with domain experts
- Share data insights with data scientists
- Share data specifics with data scientists
Work Experience
- 2 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- ABAP
- SAP S/4HANA
- VDM
- CDS Views
- RAP
- OData
- Data Dictionary
- Python
- SQL
- AWS
- GCP
- Azure
- RDF
- SPARQL
Benefits
Learning & Development
- Constant learning
- Skill growth
Other Benefits
- Great benefits
Mentorship & Coaching
- Team growth support
Informal Culture
- Culture of inclusion
Healthcare & Fitness
- Focus on health and well-being
Flexible Working
- Flexible working models
Ergonomic Workplace
- Accessibility accommodations
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of SAP and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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SASAP
AI Data Engineer with SAP S/4 Skills(m/w/x)
Garching bei München
Full-timeWith Home OfficeExperienced
AI/ML
Data Science
Nejo AI Summary
Building AI data pipelines for SAP S/4HANA backend and data models. Advanced Python and SQL skills required. Company car for private use, 6 weeks vacation.
Requirements
- Master’s degree in Computer Science, Artificial Intelligence, or relevant disciplines
- Generic understanding of ABAP, SAP S/4HANA backend and data model
- Advanced software engineering skills in Python
- Proficiency in SQL
- Hands-on knowledge in cloud stack (AWS, GCP, or Azure)
- Handling large-scale data (>1M files; >10TB volume)
- Experience with data modelling
- Experience with ABAP
- Experience with Machine Learning
- Experience with Knowledge Graph technologies (e.g., RDF, SPARQL)
- Experience in SAP consulting
- Strong communication skills
- Strong coordination skills
- Strong collaboration skills
- Ability to work effectively in cross-cultural teams
Tasks
- Build and scale technical foundations for AI innovations
- Develop end-to-end data pipelines
- Execute complex data extractions
- Engineer high-value datasets for model research
- Focus on tooling and pipelines for data curation
- Refine data assets for utility and performance
- Ensure datasets adhere to compliance and data integrity
- Design, develop, and manage data processing tools
- Process tabular data at scale
- Extract data from various sources
- Clean data from various sources
- Enrich data from various sources
- Analyze data from various sources
- Ensure high data quality
- Utilize data for training and benchmarking
- Understand and interpret data with domain experts
- Interpret metadata with domain experts
- Interpret development artifacts with domain experts
- Share data insights with data scientists
- Share data specifics with data scientists
Work Experience
- 2 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- ABAP
- SAP S/4HANA
- VDM
- CDS Views
- RAP
- OData
- Data Dictionary
- Python
- SQL
- AWS
- GCP
- Azure
- RDF
- SPARQL
Benefits
Learning & Development
- Constant learning
- Skill growth
Other Benefits
- Great benefits
Mentorship & Coaching
- Team growth support
Informal Culture
- Culture of inclusion
Healthcare & Fitness
- Focus on health and well-being
Flexible Working
- Flexible working models
Ergonomic Workplace
- Accessibility accommodations
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of SAP and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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.
Not a perfect match?
- SAP
AI Data Lead - SAP-RPT Model Family(m/w/x)
Full-timeWith HomeofficeSeniorGarching bei München - SAP
(Senior) Data / Knowledge Engineers: Knowledge Graphs and Generative AI(m/w/x)
Full-timeWith HomeofficeSeniorGarching bei München, München, Berlin - appliedAI Initiative GmbH
AI Engineer - Focus: Software Engineering(m/w/x)
Full-timeWith HomeofficeExperiencedHeilbronn, München - SAP
Applied Senior/Staff Scientist for Relational Enterprise Data (T3/T4)(m/w/x)
Full-timeWith HomeofficeSeniorGarching bei München - Olmatic GmbH
AI & ML Engineer(m/w/x)
Full-timeWith HomeofficeExperiencedStuttgart, München