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 - SAP-RPT Model Family(m/w/x)
Garching bei München
Full-timeWith Home OfficeExperienced
AI/ML
Data Science
Nejo AI Summary
Building AI innovation foundations and data pipelines for end-to-end business application software. Master's degree in CS or AI required. Focus on SAP S/4HANA backend and Data Dictionary.
Requirements
- Master’s degree in Computer Science, AI, or relevant disciplines
- Generic understanding of ABAP, SAP S/4HANA backend, data model, and Data Dictionary
- Advanced software engineering skills in Python
- Proficiency in SQL
- Hands-on knowledge in cloud stack (AWS, GCP, or Azure) (plus)
- Experience handling large-scale data (>1M files; >10TB volume) (plus)
- Experience with data modelling (plus)
- Experience with ABAP (plus)
- Experience with Machine Learning and/or Knowledge Graph technologies (plus)
- 2+ years professional experience
- 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 research teams
- Curate and refine data assets
- Ensure data compliance and integrity
- Design, develop, and manage tools and data pipelines
- Enable scaled processing of tabular data
- Extract, clean, enrich, and analyze source data
- Ensure high quality of extracted data
- Process and enrich data for the Foundation Model
- Utilize data as training and benchmark data
- Collaborate with domain experts and development teams
- Understand and interpret data and metadata
- Understand and interpret development artifacts
- Collaborate with data scientists
- Share data insights and specifics
- Tailor models to enterprise application data
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
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 - SAP-RPT Model Family(m/w/x)
Garching bei München
Full-timeWith Home OfficeExperienced
AI/ML
Data Science
Nejo AI Summary
Building AI innovation foundations and data pipelines for end-to-end business application software. Master's degree in CS or AI required. Focus on SAP S/4HANA backend and Data Dictionary.
Requirements
- Master’s degree in Computer Science, AI, or relevant disciplines
- Generic understanding of ABAP, SAP S/4HANA backend, data model, and Data Dictionary
- Advanced software engineering skills in Python
- Proficiency in SQL
- Hands-on knowledge in cloud stack (AWS, GCP, or Azure) (plus)
- Experience handling large-scale data (>1M files; >10TB volume) (plus)
- Experience with data modelling (plus)
- Experience with ABAP (plus)
- Experience with Machine Learning and/or Knowledge Graph technologies (plus)
- 2+ years professional experience
- 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 research teams
- Curate and refine data assets
- Ensure data compliance and integrity
- Design, develop, and manage tools and data pipelines
- Enable scaled processing of tabular data
- Extract, clean, enrich, and analyze source data
- Ensure high quality of extracted data
- Process and enrich data for the Foundation Model
- Utilize data as training and benchmark data
- Collaborate with domain experts and development teams
- Understand and interpret data and metadata
- Understand and interpret development artifacts
- Collaborate with data scientists
- Share data insights and specifics
- Tailor models to enterprise application data
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
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.
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