Parloa
Staff Data Engineer – Internal Platform(m/w/x)
Full-timeOn-siteExperienced
Berlin
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Designing scalable data layers and metadata architecture for an AI-powered SAP consultant. Strong data engineering, pipeline, and schema design background required. Exposure to cutting-edge AI.
Requirements
- Strong data engineering background
- Pipeline development experience
- Schema design experience
- Data modeling experience
- Experience with complex enterprise data
- Experience with semi-structured enterprise data
- Knowledge of graph-based systems
- Knowledge of knowledge graphs
- Knowledge of graph databases
- Relational modeling for complex domains
- Systems-level thinking
- Focus on architecture
- Focus on scalability
- Ability to maintain high data quality standards
- Ability to maintain high data reliability standards
- Willingness to work on-site in Berlin
Tasks
- Design scalable data layer for AI system
- Map relationships across SAP projects
- Own metadata architecture and queryability
- Label, link, and version data
- Develop data pipelines for SAP telemetry
- Ingest consulting insights into datasets
- Collaborate with AI/ML teams for model training
- Refine data systems with each deployment
- Maintain data integrity and consistency
- Ensure data usability across systems
- Architect for long-term scalability
Work Experience
- approx. 1 - 4 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Benefits
Diverse Work
- Exposure to cutting-edge AI
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Huzzle 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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Designing scalable data layers and metadata architecture for an AI-powered SAP consultant. Strong data engineering, pipeline, and schema design background required. Exposure to cutting-edge AI.
Requirements
- Strong data engineering background
- Pipeline development experience
- Schema design experience
- Data modeling experience
- Experience with complex enterprise data
- Experience with semi-structured enterprise data
- Knowledge of graph-based systems
- Knowledge of knowledge graphs
- Knowledge of graph databases
- Relational modeling for complex domains
- Systems-level thinking
- Focus on architecture
- Focus on scalability
- Ability to maintain high data quality standards
- Ability to maintain high data reliability standards
- Willingness to work on-site in Berlin
Tasks
- Design scalable data layer for AI system
- Map relationships across SAP projects
- Own metadata architecture and queryability
- Label, link, and version data
- Develop data pipelines for SAP telemetry
- Ingest consulting insights into datasets
- Collaborate with AI/ML teams for model training
- Refine data systems with each deployment
- Maintain data integrity and consistency
- Ensure data usability across systems
- Architect for long-term scalability
Work Experience
- approx. 1 - 4 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Benefits
Diverse Work
- Exposure to cutting-edge AI
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Huzzle 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.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Huzzle
Industry
IT
Description
An ambitious startup building an AI-powered SAP consultant to transform enterprise system implementation and optimization.
Not a perfect match?
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