AI Engineer - Analytics & End-User Insights

4 months ago

Düsseldorf, GermanySenior

Responsibilities

Design and implement decoupled data supply chains across landing, quality, transformation, and consumption layers.
Implement and document business and technical KPIs with metric traceability, explainability, and observability.
Build and maintain semantic layers that connect structured data with natural-language querying and LLM integration.
Expand BI reporting with RAG-driven analytics and contextual AI-generated insights.
Develop and maintain data models, transformations, and pipelines while ensuring data quality, lineage, and observability.
Expose data assets and AI services through APIs for technical and non-technical consumers.
Coach business users and citizen analysts and support adoption of AI-assisted workflows.
Embed protections against prompt injection, data leakage, and model misuse.
Collaborate across IT, data, security, and business functions to ensure governance, compliance, and data sovereignty.

Proven experience designing and implementing multi-layer data architectures.
Strong SQL skills and proficiency in at least one scripting or transformation language such as Python or dbt.
Hands-on experience with prompt engineering, vector stores, RAG patterns, semantic layers, and LLM-integrated workflows using tools such as LangChain or LangGraph.
Experience with BI and analytics platforms such as Qlik or Power BI.
Working knowledge of Microsoft Azure and/or AWS data and AI services such as Azure Data Factory, Azure ML, AWS Glue, or SageMaker.
Ability to understand non-technical business users and explain AI and data concepts clearly.
Understanding of AI security risks including prompt injection, data leakage, and chain-reaction errors in AI pipelines.
Awareness of GDPR, the EU AI Act, and EU data sovereignty principles.
Strong spoken and written English; German is advantageous.
Familiarity with Microsoft Fabric, Azure Purview, OneLake, or Microsoft Foundry is valuable.
Experience in FMCG, manufacturing, or procurement environments is valuable.
Knowledge and practical application of Responsible AI principles and AI ethics frameworks is valuable.

Düsseldorf home base with flexibility for remote working.
Autonomy to shape AI adoption across multiple business functions and countries.
International working environment across Intersnack’s network.
Opportunity to build a new AI-grounded analytics capability with visible business impact.
Non-EU applicants must have a valid work and residence permit.

51-200 employees