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Senior Data Engineer - Freelance (M/F)

Collective.workHauts-de-SeineEURESpublished 09/15/2026
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Must-have:TypeScriptJavaScriptPythonGitCloudDataAgile
Machine translation — original language: French.Show original

Daily Rate (TJM): 530-570

CONTEXT

Within the DSI France, the SI METIER & DATA department wishes to strengthen its capacity to carry out Data projects. Integrated into the Data team and the project team, the Data Engineer performs data integrations, processing, and reporting in PALANTIR Foundry. They propose and research the best technical solutions in collaboration with the project team and participate in the daily monitoring of data flows. The project specifically concerns the processing of IT consumption data. This mission will be carried out at the NEST headquarters (Courbevoie).

MISSIONS

  • Understand business needs and conduct the necessary investigations for optimal implementation
  • Design and implement developments and configurations in Palantir
  • Document achievements, present results, and participate in user acceptance testing (UAT)
  • Integrate into the BI team, work in collaboration with all members, and participate in the technical community
  • Participate in the daily monitoring of applications

TOOLS & ENVIRONMENT

  • Data manipulation and processing: Python
  • Creation of dashboards and display functions: JavaScript/TypeScript
  • Cloud, database, storage, automation
  • SPARK framework
  • API manipulation
  • Versioning tool: GIT
  • Understanding of database structure (star architecture, 1-N or N-N relationships)
  • Agile Method / Jira
  • Knowledge of PALANTIR (a plus)
  • Office tools: intermediate or expert level (writing reports, presentations, etc.)
  • English: professional level

WORKING CONDITIONS

  • Location: NEST headquarters, Courbevoie
  • Field: Data Engineering
  • Expected skill level: senior to expert
  • Language: fluent English
  1. Expert in Data Engineering
  2. Expert in Python/pyspark
  3. Senior in JIRA / Agile
  4. Mastery of data manipulation and processing with Python
  5. Skills in creating dashboards and display functions with JavaScript/TypeScript
  6. Knowledge of Cloud, database, storage, and automation
  7. Mastery of the SPARK framework
  8. Experience in API manipulation
  9. Use of versioning tools (GIT)
  10. Understanding of database structure (star architecture, 1-N or N-N relationships)
  11. Knowledge of PALANTIR would be a plus
  12. English: professional level
  13. Mastery of office tools: intermediate or expert level (writing reports, presentations, etc.)