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# Senior Data Engineer H/F

- **Company:** Agentic Ai Transformation
- **Location:** France
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Information Engineering, Data Infrastructure, Data Structures, Large Language Models, Snowflake, Data Management, Virtual Agents, Databricks
- **Published:** August 22, 2026
- **Apply:** https://www.hellowork.com/fr-fr/emplois/82563879.html

## About the Role

Profile wanted- Expertise in data platform engineering (install and manage data tools and services)- Expertise in data engineering (incl. data modelling, data product, etc.)- Expertise in Databricks- Expertise in data management incl. data quality, semantics, ontologies, etc.- Expertise in MS Fabric, Snowflake- Expertise in large-scale, federated and complex companies- Expertise in AI, LLMs, Agentic AI- English environment is mandatoryService Qualifications:- Databricks certification, Expertise in data platform engineering (install and manage data tools and services)

 - Expertise in data engineering (incl. data modelling, data product, etc.)

 - Expertise in Databricks

 - Expertise in data management incl. data quality, semantics, ontologies, etc.

 - Expertise in MS Fabric, Snowflake

 - Expertise in large-scale, federated and complex companies

 - Expertise in AI, LLMs, Agentic AI

 - English environment is mandatory

## Description

In the context of an Agentic AI Transformation, the Semantic layer is identified as a layer that sits between data sources and the end users or systems that consume them. Its role is to abstract data structures (tables, columns names, joins) into a business-friendly vocabulary (concepts, definitions, relationships, rules) that human and machines can interpret. is it identified as a key component that enables LLMs-based agents to interpret data in a trustworthy manner, hence it will support the scalability of Agentic AI across multiple use-cases.

Service deliverables (not limited to) : Entity exploration and implementation of a first approach to implementing the semantic layer (business vocabulary, ontologies, business process, data products, data product mapping, etc.), and related tools and technologies, based on selected Agentic use-cases in entities.


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