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Data Engineer / Data Quality – Microsoft Fabric - Energy

Original title: Data Engineer / Data Quality – Microsoft Fabric - Energie (H/F)

LinkUp Partner · Paris, France · Hybrid · Senior

  • Paris, France · Hybrid
  • French

Indexed (today) · refreshed constantly

Start
flexible
Work mode
Hybrid
Contract
Freelance / B2B
Seniority
Senior

Required skills

Nice to have:Version Control

Languages: French

Job description

Seeking a Data Engineer specializing in Data Quality to improve and structure the data environment using Microsoft Fabric. The role involves enhancing the quality, reliability, and usability of operational data from an industrial supervision platform.

Project overview

As part of improving and structuring its Data environment, we are looking for a Data Engineer specialized in Data Quality.

You will work on operational data from an industrial supervision platform, with the aim of sustainably improving its quality, reliability, and usability.

You will operate within a medallion architecture under Microsoft Fabric and contribute to the industrialization of the flows and processing necessary for supervision, performance monitoring, and reporting activities.

Your missions

As a Data Engineer / Data Quality, you will be required to:

Expected deliverables

  • Define and maintain quality rules for production, availability, loss, and operational status data.
  • Implement automated checks, quality indicators, and alert mechanisms.
  • Design, develop, and maintain data ingestion and transformation pipelines.
  • Develop SQL and Python/PySpark processing in a Microsoft Fabric environment.
  • Ensure the robustness, traceability, and re-execution of pipelines.
  • Provide reliable and documented datasets for BI teams and analytical uses.
  • Apply good development practices: versioning, testing, logging, code review, and deployment.
  • Ensure technical documentation and knowledge transfer.
  • Collaborate with Data, IT, Operations, and Performance teams, as well as with various technical stakeholders.
  • Repository of quality rules and checks.
  • Industrialized, tested, and documented pipelines and processes.
  • Data quality monitoring dashboard.
  • Technical documentation and operating procedures.
  • Skill transfer support and sessions.

Project details

  • Start: flexible
  • Remote: hybrid
  • Location: Paris, France, FR
  • Languages: French

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