Hybrid Freelance Data Analyst / Data Engineer

Posted 4 days ago

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About the role

  • Develop and structure data models.
  • Design, develop and maintain data models using DBT.
  • Transform raw data into structured, reliable, and production-ready datasets.
  • Implement and configure data quality tests (e.g., Monte Carlo).
  • Ensure the consistency, availability, and integrity of information used by business teams.
  • Participate in technical acceptance/testing phases.
  • Validate the compliance and performance of developments before they are deployed to production.
  • Design, maintain, and optimize LookML models to define Looker’s semantic layer.
  • Develop dashboards and visualizations (Looks) in Looker in collaboration with the Product Manager.

Requirements

  • Experienced freelance consultant (minimum 3–5 years’ experience in data engineering / data analysis).
  • Proficiency in DBT, Looker, and LookML.
  • Familiarity with data quality tools, ideally Monte Carlo.
  • Good understanding of business issues, particularly commercial/sales.
  • Experience in an international environment or in the premium/luxury sector is a plus.
  • Ability to work independently, be rigorous, and proactive.
  • Good command of English.

Benefits

  • Hybrid working arrangements possible depending on the client’s organization.

Job title

Freelance Data Analyst / Data Engineer

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Professional Certificate

Location requirements

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