SAP
(Senior) AI Developer(m/w/x)
Full-time/Part-timeOn-siteNot specified
Garching bei München
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SASAP
AI Data Engineer with SAP S/4 Skills(m/w/x)
Garching bei München
Full-timeOn-siteExperienced
Nejo AI Summary
Building data pipelines for AI innovations with SAP S/4HANA backend and cloud stack. Advanced Python and SQL engineering skills required. Constant learning and skill growth opportunities.
Requirements
- Master’s degree in Computer Science, Artificial Intelligence, or relevant disciplines
- Generic understanding of ABAP, SAP S/4HANA backend and data model (VDM, CDS Views, RAP, OData), Data Dictionary
- 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 (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 high-quality, 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 maximum utility
- Ensure datasets adhere to compliance and integrity
- Design, develop, and manage data processing tools
- Process tabular data at scale
- Extract, clean, and enrich data from various sources
- Analyze data for high quality
- Utilize data as training and benchmark data
- Understand and interpret data with domain experts
- Interpret metadata and development artifacts
- Share data insights with data scientists
- Tailor models to enterprise 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 with SAP S/4 Skills(m/w/x)
Garching bei München
Full-timeOn-siteExperienced
Nejo AI Summary
Building data pipelines for AI innovations with SAP S/4HANA backend and cloud stack. Advanced Python and SQL engineering skills required. Constant learning and skill growth opportunities.
Requirements
- Master’s degree in Computer Science, Artificial Intelligence, or relevant disciplines
- Generic understanding of ABAP, SAP S/4HANA backend and data model (VDM, CDS Views, RAP, OData), Data Dictionary
- 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 (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 high-quality, 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 maximum utility
- Ensure datasets adhere to compliance and integrity
- Design, develop, and manage data processing tools
- Process tabular data at scale
- Extract, clean, and enrich data from various sources
- Analyze data for high quality
- Utilize data as training and benchmark data
- Understand and interpret data with domain experts
- Interpret metadata and development artifacts
- Share data insights with data scientists
- Tailor models to enterprise 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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