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Mistral AI Posted 1d ago

People Tech & Analytics Engineer

Location

Paris

Contract

Permanent

Full-time

Salary

Not disclosed

Experience

Not specified

Job summary

Responsibilities

As a People Tech & Analytics Engineer on the People team, you will build the systems, data pipelines, and automations behind how Mistral runs People Operations. Reporting to the People Tech & Analytics Lead, you will turn the roadmap into reality: wiring our HR tech stack together, making data…

  • Build, maintain, and troubleshoot integrations and data pipelines across our HR systems (HRIS, ATS, payroll, identity and finance), run data quality checks, and fix…
  • Implement and evolve the Metabase visualisation layer of our people data lake, build the dashboards and self-serve reporting managers and People partners rely on, and run…
  • Design, build, test and document automated workflows, mainly with Mistral's own models, agents and APIs, with human review wherever decisions affect people, monitor live…
  • Implement configuration changes across the HR tech stack (workflows, fields, roles and permissions, new countries and entities), support testing and rollout of system changes and…
  • Architect end-to-end HR workflows with key stakeholders in HR Operations, Business Partnering and Reward, and implement data governance in practice: quality standards, access…

What they're looking for

  • Experience in data engineering, analytics engineering or HR technology, ideally within an HR or People function or working closely with one as a stakeholder.
  • Strong practical SQL and Python skills: you are comfortable building pipelines and transformations yourself.
  • Hands-on experience with HR systems such as Ashby, and integrating them with ATS, payroll, identity and finance tools via APIs, middleware and data pipelines.
  • Real automation experience: you have built and maintained workflows in n8n or similar tools such as Make, Zapier, Workato or Langdock, and you are excited to do the same with…
  • Working experience with data warehousing (Snowflake, BigQuery) and the modern data stack (dbt or similar), and with visualisation tools such as Metabase, Looker, Tableau or Power…

Tech stack

Read the full job posting

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