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Data Quality Consultant

WHIZE - Company

Neuilly-sur-Seine, Nanterre, ๐Ÿ‡ซ๐Ÿ‡ท FranceFull-time - Mid level (2-4 years)0 applicantsCloses Jun 20, 2026

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Job description

Job details

  • Location: Neuilly-sur-Seine, Nanterre
  • Work mode: Onsite
  • Employment type: Full-time (Not an internship)
  • Salary: Salary details are available in the employer description.

Role overview

WHIZE, a subsidiary of the Neurones Group, is seeking a Data Quality Consultant to join their Data Intelligence team in Neuilly-sur-Seine and Nanterre. This Full-time, Onsite role focuses on ensuring data integrity across modern BI platforms, data engineering pipelines, and cloud-native solutions. The consultant will work with cutting-edge technologies including Power BI, Tableau, Azure Data Factory, Python, and SQL to deliver high-quality data solutions for enterprise clients.

Job details

This is a Full-time, Onsite position based in Neuilly-sur-Seine and Nanterre, France. The role involves working within WHIZE's three core service areas: Modern BI with expertise across the entire decision-making chain, Data Engineering using advanced Python and SQL, and Cloud Native development in Serverless architectures. Salary details are available in the employer description or upon application.

Responsibilities

  • Ensure data quality across BI platforms including Power BI and Tableau
  • Implement data validation and quality frameworks for enterprise clients
  • Collaborate on data engineering pipelines using Python and SQL
  • Support cloud-native serverless architecture data solutions
  • Conduct data profiling and quality assessments across Azure environments

Requirements

  • 2-4 years of experience in data quality or data engineering roles
  • Strong proficiency in SQL and Python for data manipulation
  • Hands-on experience with Power BI, Tableau, or Azure Data Factory
  • Understanding of data governance and quality frameworks
  • Excellent analytical and problem-solving skills

Benefits

  • Work within the Neurones Group ecosystem of 7000 professionals
  • Exposure to modern BI and cloud-native technologies
  • Collaborative data intelligence team environment
  • Professional development in data quality and engineering

Keywords

Data QualityPower BIAzure Data FactoryPythonSQLTableauData EngineeringCloud NativeServerless