SAP
(Senior) Researcher - Knowledge Graphs and Generative AI(m/w/x)
Full-timeOn-siteExperienced
Garching bei München, Berlin
Neuer Job?Nejo!
Dein persönlicher KI-Karriere-Agent
SASAP
(Senior) Data Engineer: RDF Knowledge Graphs and Generative AI(m/w/x)
Garching bei München
VollzeitVor OrtBerufserfahren
Nejo KI-Zusammenfassung
Building RDF Knowledge Graphs and Generative AI data pipelines for SAP. Mapping source data into ontologies and operating triple stores in production. PhD or Master's degree in CS, AI, physics, or math required.
Anforderungen
- PhD or Master’s degree in computer science, AI, physics, or mathematics
- 2+ years professional experience in Data Engineering
- Experience with Knowledge Graphs in business context
- Designing and operating large-scale data pipelines
- Deep working proficiency in RDF Knowledge Graph stack
- Hands-on experience operating triple stores
- Familiarity with property graph solutions
- Mapping business operations into data models, ontologies, schemas
- Working knowledge of triple store ecosystem
- Working knowledge of Enterprise Knowledge Graph architectures
- Awareness of trends in Data Engineering, KG, LLMs
- Solid command of SQL
- Solid command of modern data warehousing/lakehouse concepts
- Solid command of cloud data platforms
- Experience in Data Engineering with hands-on approach
- Fluent in Python
- Ability to convert ideas into productive code
- Advise stakeholders on data into enterprise KG
- Advise stakeholders on applying KG to business use cases
- Knowledge of SAP data and applications preferred
- Strong communication skills
- Strong collaboration skills
- Ability to work effectively in cross-cultural teams
Aufgaben
- Design and build robust data pipelines
- Ingest, transform, and load structured and unstructured data
- Map source data into ontologies and SHACL schemas
- Develop SPARQL-based transformations
- Operate triple stores in production
- Collaborate with domain specialists and data owners
- Translate requirements into reliable data flows
- Make critical design decisions on data engineering stack
- Integrate with downstream Generative AI applications
- Contribute to thought leadership in Data Engineering
- Present benefits of high-quality Knowledge Graph data
- Propose new business use cases to stakeholders
Berufserfahrung
- 2 Jahre
Ausbildung
- Doktor / Ph.D.
Sprachen
- Englisch – fließend
Tools & Technologien
- Data Engineering
- Knowledge Graphs
- RDF
- RDFS
- OWL
- SHACL
- SPARQL
- triple stores
- Neo4j
- SQL
- data warehousing
- lakehouse
- AWS
- GCP
- Azure
- Databricks
- Python
- SAP data
- SAP applications
Benefits
Weiterbildungsangebote
- Constant learning
- Skill growth
Sonstige Vorteile
- Great benefits
- Accessibility accommodations
Mentoring & Coaching
- Team growth support
Lockere Unternehmenskultur
- Culture of inclusion
Gesundheits- & Fitnessangebote
- Focus on health and well-being
Flexibles Arbeiten
- Flexible working models
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens SAP erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
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SASAP
(Senior) Data Engineer: RDF Knowledge Graphs and Generative AI(m/w/x)
Garching bei München
VollzeitVor OrtBerufserfahren
Nejo KI-Zusammenfassung
Building RDF Knowledge Graphs and Generative AI data pipelines for SAP. Mapping source data into ontologies and operating triple stores in production. PhD or Master's degree in CS, AI, physics, or math required.
Anforderungen
- PhD or Master’s degree in computer science, AI, physics, or mathematics
- 2+ years professional experience in Data Engineering
- Experience with Knowledge Graphs in business context
- Designing and operating large-scale data pipelines
- Deep working proficiency in RDF Knowledge Graph stack
- Hands-on experience operating triple stores
- Familiarity with property graph solutions
- Mapping business operations into data models, ontologies, schemas
- Working knowledge of triple store ecosystem
- Working knowledge of Enterprise Knowledge Graph architectures
- Awareness of trends in Data Engineering, KG, LLMs
- Solid command of SQL
- Solid command of modern data warehousing/lakehouse concepts
- Solid command of cloud data platforms
- Experience in Data Engineering with hands-on approach
- Fluent in Python
- Ability to convert ideas into productive code
- Advise stakeholders on data into enterprise KG
- Advise stakeholders on applying KG to business use cases
- Knowledge of SAP data and applications preferred
- Strong communication skills
- Strong collaboration skills
- Ability to work effectively in cross-cultural teams
Aufgaben
- Design and build robust data pipelines
- Ingest, transform, and load structured and unstructured data
- Map source data into ontologies and SHACL schemas
- Develop SPARQL-based transformations
- Operate triple stores in production
- Collaborate with domain specialists and data owners
- Translate requirements into reliable data flows
- Make critical design decisions on data engineering stack
- Integrate with downstream Generative AI applications
- Contribute to thought leadership in Data Engineering
- Present benefits of high-quality Knowledge Graph data
- Propose new business use cases to stakeholders
Berufserfahrung
- 2 Jahre
Ausbildung
- Doktor / Ph.D.
Sprachen
- Englisch – fließend
Tools & Technologien
- Data Engineering
- Knowledge Graphs
- RDF
- RDFS
- OWL
- SHACL
- SPARQL
- triple stores
- Neo4j
- SQL
- data warehousing
- lakehouse
- AWS
- GCP
- Azure
- Databricks
- Python
- SAP data
- SAP applications
Benefits
Weiterbildungsangebote
- Constant learning
- Skill growth
Sonstige Vorteile
- Great benefits
- Accessibility accommodations
Mentoring & Coaching
- Team growth support
Lockere Unternehmenskultur
- Culture of inclusion
Gesundheits- & Fitnessangebote
- Focus on health and well-being
Flexibles Arbeiten
- Flexible working models
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens SAP erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
SAP
Branche
IT
Beschreibung
SAP innovations help over four hundred thousand customers worldwide work together more efficiently and use business insight more effectively.
Not a perfect match?
- SAP
(Senior) Researcher - Knowledge Graphs and Generative AI(m/w/x)
Full-timeOn-siteExperiencedGarching bei München, Berlin - SAP
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Full-timeOn-siteSeniorGarching bei München - SAP
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.AI Data Lead - SAP-RPT Model Family(m/w/x)
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Lead AI Developer(m/w/x)
Full-time/Part-timeOn-siteSeniorGarching bei München