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AI Data Engineer - SAP-RPT Model Family(m/w/x)
Description
Building end-to-end data pipelines and extraction tools for research datasets at global software provider. Advanced Python engineering and SAP S/4HANA backend knowledge required. Flexible working models, 30 days vacation.
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, AI, or relevant disciplines
- •Understanding of SAP S/4HANA backend and data model
- •Knowledge of Data Dictionary
- •Advanced software engineering skills in Python
- •Proficiency in SQL
- •Knowledge in cloud stack or handling large-scale data (plus)
- •Experience with data modelling, ABAP, ML, or Knowledge Graphs (plus)
- •2+ years of professional experience
- •Strong communication, coordination, and collaboration skills
- •Ability to work in cross-cultural teams
Education
Work Experience
2 years
Tasks
- •Build and scale technical foundations for AI
- •Develop high-quality end-to-end data pipelines
- •Execute complex data extractions
- •Engineer high-value datasets for research teams
- •Create tools for curating data assets
- •Refine data assets for maximum performance
- •Process tabular data at scale
- •Clean and enrich data from various sources
- •Analyze data for quality and integrity
- •Prepare training and benchmark data
- •Interpret data and metadata with domain experts
- •Collaborate with application development teams
- •Share data insights with data scientists
- •Tailor models to SAP enterprise data
- •Ensure compliance and data integrity
- •Develop next-generation relational foundation models
Tools & Technologies
Languages
English – Business Fluent
Benefits
Learning & Development
- •Constant learning
- •Skill growth
Informal Culture
- •Inclusive culture
Healthcare & Fitness
- •Health and well-being focus
Flexible Working
- •Flexible working models
Ergonomic Workplace
- •Accessibility accommodations
- SAPFull-timeOn-siteExperiencedGarching bei München
- SAP
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AI Data Engineer - SAP-RPT Model Family(m/w/x)
The AI Job Search Engine
Description
Building end-to-end data pipelines and extraction tools for research datasets at global software provider. Advanced Python engineering and SAP S/4HANA backend knowledge required. Flexible working models, 30 days vacation.
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, AI, or relevant disciplines
- •Understanding of SAP S/4HANA backend and data model
- •Knowledge of Data Dictionary
- •Advanced software engineering skills in Python
- •Proficiency in SQL
- •Knowledge in cloud stack or handling large-scale data (plus)
- •Experience with data modelling, ABAP, ML, or Knowledge Graphs (plus)
- •2+ years of professional experience
- •Strong communication, coordination, and collaboration skills
- •Ability to work in cross-cultural teams
Education
Work Experience
2 years
Tasks
- •Build and scale technical foundations for AI
- •Develop high-quality end-to-end data pipelines
- •Execute complex data extractions
- •Engineer high-value datasets for research teams
- •Create tools for curating data assets
- •Refine data assets for maximum performance
- •Process tabular data at scale
- •Clean and enrich data from various sources
- •Analyze data for quality and integrity
- •Prepare training and benchmark data
- •Interpret data and metadata with domain experts
- •Collaborate with application development teams
- •Share data insights with data scientists
- •Tailor models to SAP enterprise data
- •Ensure compliance and data integrity
- •Develop next-generation relational foundation models
Tools & Technologies
Languages
English – Business Fluent
Benefits
Learning & Development
- •Constant learning
- •Skill growth
Informal Culture
- •Inclusive culture
Healthcare & Fitness
- •Health and well-being focus
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
(Senior) Research Engineer - Foundation and World Models on Structured Data(m/w/x)
Full-timeOn-siteSeniorGarching bei München - SAP
(Senior) Research Engineer - Foundation and World Models on Structured Data(m/w/x)
Full-timeOn-siteSeniorGarching bei München