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Data ScienceOnsite

Apprentice Data Engineer / Data Architect

UNEDIC - Company

Paris, Ile-de-France, ๐Ÿ‡ซ๐Ÿ‡ท FranceInternship - Internship0 applicantsCloses Jun 21, 2026

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Job description

Job details

  • Location: Paris, Ile-de-France
  • Work mode: Onsite
  • Employment type: Internship (Internship role)
  • Salary: Salary details are available in the employer description.

Role overview

UNEDIC is seeking an Apprentice Data Engineer / Data Architect to join the Data team within the Information Systems department in Paris, Ile-de-France. This internship offers hands-on experience maintaining and operating an on-premise data platform with multiple components for data collection and processing. You will work with Python, Spark, and R on real-world projects including simulators, forecasting models, and production pipelines. This is an onsite internship opportunity in Paris.

Job details

This is an onsite internship position based in Paris, Ile-de-France, France. The role is within the Data Platform service, responsible for maintaining operational conditions and supporting UNEDIC's data infrastructure. Salary details are available in the employer description. You will gain exposure to big data technologies and contribute to various data engineering and architecture projects that support UNEDIC's mission.

Responsibilities

  • Assist in maintaining the on-premise data platform infrastructure
  • Support data collection and processing pipeline operations
  • Contribute to Python, Spark, or R-based data projects
  • Help develop simulators, forecasting models, and production workflows
  • Collaborate with the Data team on platform maintenance tasks

Requirements

  • Currently enrolled in a data engineering, computer science, or related program
  • Basic knowledge of Python and data processing concepts
  • Interest in big data technologies and data architecture
  • Ability to work onsite in Paris, Ile-de-France
  • Strong analytical and problem-solving skills

Benefits

  • Hands-on experience with enterprise data platforms
  • Exposure to Python, Spark, and R technologies
  • Work on real-world forecasting and simulation projects
  • Professional development in data engineering and architecture

Keywords

Data EngineeringPythonSparkBig DataData ArchitectureRETLData PlatformOn-premise