Senior Data Engineer, AI

Jobtailor

France métropolitaine

Sur place

EUR 65 000 - 90 000

Plein temps

14 jours+
Générateur de candidature

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Résumé du poste

Jobtailor seeks a data engineering expert to design and evolve data processing on an Azure Lakehouse architecture. You will collect, integrate, structure, and model data to support analytics and AI use cases.

You will optimize processing performance, ensure data quality, and promote AI-assisted development practices such as code generation, refactoring, testing, and documentation while providing technical expertise in international transformation projects.

Qualifications

  • At least five years of experience in Data Engineering, BI, or Cloud Data Engineering.
  • Significant experience with Cloud and Lakehouse architectures.
  • Strong command of Databricks, including Delta Lake and Lakehouse performance optimization.
  • Expertise in data modeling, including analytical schemas, slowly changing dimensions (SCD), and data structuring.
  • Familiarity with AI-assisted development tools.

Responsabilités

  • Design and evolve data processing on an Azure Lakehouse architecture.
  • Collect, integrate, structure, and model data.
  • Optimize processing performance and ensure data quality.
  • Prepare datasets for analytics and AI use cases.
  • Promote AI-assisted development practices including code generation, refactoring, testing, and documentation.
  • Provide technical expertise to support data projects in an international transformation context.

Connaissances

Data engineering
Cloud architecture
Data modeling
AI tools

Outils

Databricks
Delta Lake

Description du poste

Responsibilities
  • Design and evolve data processing on an Azure Lakehouse architecture.
  • Collect, integrate, structure, and model data.
  • Optimize processing performance and ensure data quality.
  • Prepare datasets for analytics and AI use cases.
  • Promote AI-assisted development practices including code generation, refactoring, testing, and documentation.
  • Provide technical expertise to support data projects in an international transformation context.
Requirements
  • At least five years of experience in Data Engineering, BI, or Cloud Data Engineering.
  • Significant experience with Cloud and Lakehouse architectures.
  • Strong command of Databricks, including Delta Lake and Lakehouse performance optimization.
  • Expertise in data modeling, including analytical schemas, slowly changing dimensions (SCD), and data structuring.
  • Familiarity with AI-assisted development tools.
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