Capgemini
Senior Data & AI Engineer Sovereign Cloud(m/w/x)
Full-timeWith HomeofficeSenior
Berlin, Hamburg, München, Köln, Frankfurt am Main, Düsseldorf, Stuttgart, Dortmund, Nürnberg, Erfurt
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INIntersnack IT KG
.AI Engineer - Analytics & End-User Insights(m/w/x)
Düsseldorf
Full-timeWith Home OfficeExperienced
AI/ML
Nejo AI Summary
Designing decoupled data supply chains and implementing data quality layers for AI systems. Prompt engineering and vector stores experience required. Remote flexibility, international environment.
Requirements
- Proven experience designing multi-layer data architectures
- Strong SQL proficiency
- Scripting or transformation language for data modelling
- Hands-on prompt engineering experience
- Vector stores experience
- RAG patterns experience
- Ability to build semantic layers
- Design LLM-integrated workflows
- Experience with BI and analytics platforms
- Understanding of AI-assisted reporting delivery
- Working knowledge of Azure data and AI services
- Working knowledge of AWS data and AI services
- Ability to engage with non-technical business users
- Translate AI and data concepts to business language
- Solid understanding of AI security fundamentals
- Awareness of GDPR regulatory framework
- Awareness of EU AI Act regulatory framework
- Awareness of EU data sovereignty principles
- Strong command of spoken and written English
- Knowledge of German is an advantage
- Familiarity with Microsoft Fabric
- Familiarity with Azure Purview
- Familiarity with OneLake for data governance
- Familiarity with Microsoft Foundry for LLM workflows
- Experience in FMCG environments
- Experience in manufacturing environments
- Experience in procurement environments
- Knowledge of Responsible AI principles
- Practical application of AI ethics frameworks
- Valid work and residence permit for non-EU applicants
Tasks
- Design decoupled data supply chains
- Implement data quality and transformation layers
- Ensure high-quality data for analytics and AI systems
- Document business KPIs as defined by stakeholders
- Define and document technical KPIs for AI performance
- Collaborate with data architects on KPIs
- Build semantic layer for AI-based insights
- Integrate structured data with natural-language querying
- Expand BI reporting with AI-supported analytics
- Complement manual reports with dynamic insights
- Develop and maintain data models and pipelines
- Ensure data quality, lineage, and observability
- Expose data assets via well-designed APIs
- Support technical and non-technical data consumption
- Coach business users and citizen analysts
- Build AI and data literacy across the organization
- Support adoption of AI-assisted workflows
- Embed security-by-design principles
- Protect against prompt injection and data leakage
- Prevent model misuse
- Collaborate across IT, data, security, and business functions
- Ensure analytics governance and compliance
- Align with EU AI Act and GDPR requirements
- Adhere to Intersnack's data sovereignty standards
Work Experience
- approx. 1 - 4 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Native
- German – Basic
Tools & Technologies
- SQL
- Python
- dbt
- LangChain
- LangGraph
- Qlik
- Power BI
- Microsoft Azure
- AWS
- Azure Data Factory
- Azure ML
- AWS Glue
- SageMaker
- Microsoft Fabric
- Azure Purview
- OneLake
- Microsoft Foundry
Benefits
Flexible Working
- Remote working flexibility
Informal Culture
- International operating environment
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Intersnack IT KG 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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INIntersnack IT KG
.AI Engineer - Analytics & End-User Insights(m/w/x)
Düsseldorf
Full-timeWith Home OfficeExperienced
AI/ML
Nejo AI Summary
Designing decoupled data supply chains and implementing data quality layers for AI systems. Prompt engineering and vector stores experience required. Remote flexibility, international environment.
Requirements
- Proven experience designing multi-layer data architectures
- Strong SQL proficiency
- Scripting or transformation language for data modelling
- Hands-on prompt engineering experience
- Vector stores experience
- RAG patterns experience
- Ability to build semantic layers
- Design LLM-integrated workflows
- Experience with BI and analytics platforms
- Understanding of AI-assisted reporting delivery
- Working knowledge of Azure data and AI services
- Working knowledge of AWS data and AI services
- Ability to engage with non-technical business users
- Translate AI and data concepts to business language
- Solid understanding of AI security fundamentals
- Awareness of GDPR regulatory framework
- Awareness of EU AI Act regulatory framework
- Awareness of EU data sovereignty principles
- Strong command of spoken and written English
- Knowledge of German is an advantage
- Familiarity with Microsoft Fabric
- Familiarity with Azure Purview
- Familiarity with OneLake for data governance
- Familiarity with Microsoft Foundry for LLM workflows
- Experience in FMCG environments
- Experience in manufacturing environments
- Experience in procurement environments
- Knowledge of Responsible AI principles
- Practical application of AI ethics frameworks
- Valid work and residence permit for non-EU applicants
Tasks
- Design decoupled data supply chains
- Implement data quality and transformation layers
- Ensure high-quality data for analytics and AI systems
- Document business KPIs as defined by stakeholders
- Define and document technical KPIs for AI performance
- Collaborate with data architects on KPIs
- Build semantic layer for AI-based insights
- Integrate structured data with natural-language querying
- Expand BI reporting with AI-supported analytics
- Complement manual reports with dynamic insights
- Develop and maintain data models and pipelines
- Ensure data quality, lineage, and observability
- Expose data assets via well-designed APIs
- Support technical and non-technical data consumption
- Coach business users and citizen analysts
- Build AI and data literacy across the organization
- Support adoption of AI-assisted workflows
- Embed security-by-design principles
- Protect against prompt injection and data leakage
- Prevent model misuse
- Collaborate across IT, data, security, and business functions
- Ensure analytics governance and compliance
- Align with EU AI Act and GDPR requirements
- Adhere to Intersnack's data sovereignty standards
Work Experience
- approx. 1 - 4 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Native
- German – Basic
Tools & Technologies
- SQL
- Python
- dbt
- LangChain
- LangGraph
- Qlik
- Power BI
- Microsoft Azure
- AWS
- Azure Data Factory
- Azure ML
- AWS Glue
- SageMaker
- Microsoft Fabric
- Azure Purview
- OneLake
- Microsoft Foundry
Benefits
Flexible Working
- Remote working flexibility
Informal Culture
- International operating environment
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Intersnack IT KG 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
Intersnack IT KG
Industry
Food
Description
Intersnack IT KG provides group-wide IT services for Intersnack Group, supporting its business strategy with a modern IT infrastructure.
Not a perfect match?
- Capgemini
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