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Data & AI Consultant(m/w/x)
AI-powered pipeline development on carbmee EIS™ at enterprise software company for carbon emission reduction in manufacturing. Production experience with ML/LLMs/applied AI and strong data engineering foundation required; SAP/ERP understanding a strong plus. Virtual stock options, Urban Sports Club subscription, Nilohealth coaching sessions.
Requirements
- Strong data engineering foundation
- Python proficiency
- SQL proficiency
- Cloud platforms (AWS, GCP, or Azure) experience
- ETL pipelines experience
- Data modelling experience
- Production experience with machine learning, LLMs, or applied AI
- Comfort with messy, real-world enterprise data
- Tenacity for data cleaning, modelling, and usability
- Strong understanding of ERP systems (especially SAP) and enterprise data structures
- Effective collaboration with engineering and non-technical stakeholders
- Degree in Computer Science, Data Science, Mathematics, Statistics, or related field, or equivalent practical experience
- English fluency
- German language skills (plus)
- Passion for sustainability
Tasks
- Design and implement AI pipelines on carbmee EIS™
- Ensure quality of AI pipeline deliverables
- Oversee end-to-end data and AI workstreams
- Lead data discovery and architecture design
- Engage with customer data, IT, and sustainability
- Understand customer data environments and ERP structures
- Understand customer emissions reporting needs
- Design scalable integration and modeling solutions
- Build AI pipelines for emissions data collection
- Build AI pipelines for carbon footprint calculation
- Build AI pipelines for spend-based estimation
- Build AI pipelines for Scope 3 data quality
- Develop and fine-tune ML models for data enhancement
- Develop and fine-tune LLM workflows for data enhancement
- Integrate carbmee EIS™ with ERP systems (SAP)
- Integrate carbmee EIS™ with procurement platforms
- Integrate carbmee EIS™ with third-party data sources
- Utilize APIs and data pipelines for integrations
- Develop custom scripts (Python, SQL) for integrations
- Transform and prepare complex enterprise datasets
- Ensure data consistency with carbmee's model
- Translate model outputs and analyses into executive insights
- Generate insights to drive decarbonization decisions
- Feed data and AI learnings to product engineering
- Contribute to EIS™ platform intelligence improvements
- Transform fragmented data into carbon accounting foundation
- Accelerate customer insights through data transformation
- Expand emissions data coverage with AI and ML
- Fill supplier data gaps and improve estimation
- Surface missed data signals
- Connect procurement, logistics, and production datasets
- Generate actionable intelligence for decarbonization
- Build lasting data credibility with customer teams
- Establish carbmee EIS™ as trusted infrastructure
Work Experience
- 2 - 5 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
- German – Basic
Tools & Technologies
- Python
- SQL
- AWS
- GCP
- Azure
- ETL pipelines
- data modelling
- machine learning
- LLMs
- applied AI
- ERP systems
- SAP
Benefits
Competitive Pay
- Virtual stock options
Healthcare & Fitness
- Urban Sports Club subscription
Mental Health Support
- Nilohealth coaching sessions
Flexible Working
- Flexible hybrid/remote work
Modern Office
- Accessible office
Team Events
- Summer offsite
- Winter party
- Regular team events
Not a perfect match?
- Carbmee GmbHFull-timeRemoteExperiencedBerlin, München
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Data & AI Consultant(m/w/x)
AI-powered pipeline development on carbmee EIS™ at enterprise software company for carbon emission reduction in manufacturing. Production experience with ML/LLMs/applied AI and strong data engineering foundation required; SAP/ERP understanding a strong plus. Virtual stock options, Urban Sports Club subscription, Nilohealth coaching sessions.
Requirements
- Strong data engineering foundation
- Python proficiency
- SQL proficiency
- Cloud platforms (AWS, GCP, or Azure) experience
- ETL pipelines experience
- Data modelling experience
- Production experience with machine learning, LLMs, or applied AI
- Comfort with messy, real-world enterprise data
- Tenacity for data cleaning, modelling, and usability
- Strong understanding of ERP systems (especially SAP) and enterprise data structures
- Effective collaboration with engineering and non-technical stakeholders
- Degree in Computer Science, Data Science, Mathematics, Statistics, or related field, or equivalent practical experience
- English fluency
- German language skills (plus)
- Passion for sustainability
Tasks
- Design and implement AI pipelines on carbmee EIS™
- Ensure quality of AI pipeline deliverables
- Oversee end-to-end data and AI workstreams
- Lead data discovery and architecture design
- Engage with customer data, IT, and sustainability
- Understand customer data environments and ERP structures
- Understand customer emissions reporting needs
- Design scalable integration and modeling solutions
- Build AI pipelines for emissions data collection
- Build AI pipelines for carbon footprint calculation
- Build AI pipelines for spend-based estimation
- Build AI pipelines for Scope 3 data quality
- Develop and fine-tune ML models for data enhancement
- Develop and fine-tune LLM workflows for data enhancement
- Integrate carbmee EIS™ with ERP systems (SAP)
- Integrate carbmee EIS™ with procurement platforms
- Integrate carbmee EIS™ with third-party data sources
- Utilize APIs and data pipelines for integrations
- Develop custom scripts (Python, SQL) for integrations
- Transform and prepare complex enterprise datasets
- Ensure data consistency with carbmee's model
- Translate model outputs and analyses into executive insights
- Generate insights to drive decarbonization decisions
- Feed data and AI learnings to product engineering
- Contribute to EIS™ platform intelligence improvements
- Transform fragmented data into carbon accounting foundation
- Accelerate customer insights through data transformation
- Expand emissions data coverage with AI and ML
- Fill supplier data gaps and improve estimation
- Surface missed data signals
- Connect procurement, logistics, and production datasets
- Generate actionable intelligence for decarbonization
- Build lasting data credibility with customer teams
- Establish carbmee EIS™ as trusted infrastructure
Work Experience
- 2 - 5 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
- German – Basic
Tools & Technologies
- Python
- SQL
- AWS
- GCP
- Azure
- ETL pipelines
- data modelling
- machine learning
- LLMs
- applied AI
- ERP systems
- SAP
Benefits
Competitive Pay
- Virtual stock options
Healthcare & Fitness
- Urban Sports Club subscription
Mental Health Support
- Nilohealth coaching sessions
Flexible Working
- Flexible hybrid/remote work
Modern Office
- Accessible office
Team Events
- Summer offsite
- Winter party
- Regular team events
About the Company
Carbmee GmbH
Industry
Manufacturing
Description
The company offers a cloud solution that enables companies to analyze, manage & reduce their carbon footprint.
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