People Tech & Analytics Engineer

Mistral Ai

Paris

On-site

EUR 65,000 - 90,000

Full time

5 days ago
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Benefits offered by this job

Healthcare coverage
Parental leave
Retirement plans
Relocation support
Wellness programs
Meal and transportation allowances

Job summary

Mistral AI is seeking a People Tech & Analytics Engineer to build and maintain HR data pipelines, automate workflows, and deliver insights from our HRIS/ATS and payroll systems. You will own data quality, dashboards, and governance, partnering with People Operations to automate processes and generate leadership-ready analytics.

Ideal candidates bring SQL, Python, and hands-on experience with HR tech stacks, automation tools, and modern data platforms.

Qualifications

  • Experience in data engineering or analytics engineering within HR tech.
  • Strong SQL and Python skills and hands-on pipeline work.
  • Experience with HR systems like Ashby and API integrations.
  • Automation experience with n8n, Make, Zapier or similar tools.
  • Familiarity with Snowflake/BigQuery and the modern data stack.

Responsibilities

  • Build, maintain, and troubleshoot HR data pipelines and integrations.
  • Develop Metabase dashboards for people data insights.
  • Design automated HR workflows and productionise AI use cases.
  • Configure HR tech stack with roles, permissions, and country setups.
  • Lead issue resolution with audit trails and production readiness.
  • Collaborate with HR Ops and Rewards to implement data governance.

Skills

SQL
Python
Data pipelines
HR technology
Automation

Tools

Ashby
n8n
Make
Zapier
Langdock
Snowflake
BigQuery
dbt
Metabase
Looker
Tableau
Power BI

Job description

Mistral AI is seeking a People Tech & Analytics Engineer to build and maintain HR data pipelines, automate workflows, and deliver insights from our HRIS/ATS and payroll systems. You will own data quality, dashboards, and governance, partnering with People Operations to automate processes and generate leadership-ready analytics.

Ideal candidates bring SQL, Python, and hands-on experience with HR tech stacks, automation tools, and modern data platforms.

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