People Tech & Analytics Engineer

Mistral AI is hiring a People Tech & Analytics Engineer for a remote role open to applicants in France. Level rates it ; you can apply on Mistral AI.

Level's read on this job

Works on AI ●●●○ is how Level rates this role: the daily work is on AI products, without building the model.
This is listed as a remote role.
The posting mentions Zapier AI, N8n and Metabase among its tools and skills.
Mistral AI has 229 other open roles on Level.
Posted within the past week.

AI in this role

Build and maintain HR systems, data pipelines, and internal automations using AI agents and APIs for people operations.

zapier-ain8nmetabasehrisatsapis

data-pipelineshr-techpeople-analyticsautomationpython

About Mistral

Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.

We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.

The Role

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 flow reliably between systems, and automating people processes with third-party tools as well as Mistral's own models, agents, and APIs.

This is an individual contributor role for someone who loves building. You will spend most of your time in the systems and the data, deep-diving into problems: connecting HRIS, ATS, payroll, identity, and finance tools, standing up the data layer behind our people metrics, and shipping automations that remove manual work from the People team.

If you are a data engineer or people technology specialist who wants to deliver meaningful automation outcomes at Europe's largest AI company, this is the role for you.

What You Will Do

Build, maintain, and troubleshoot integrations and data pipelines across our HR systems (HRIS, ATS, payroll, identity and finance), run data quality checks, and fix inconsistencies at the source.
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 hands-on analyses of workforce trends, retention and organisational health, supporting the move to conversational insights for leadership.
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 automations with alerting, error handling, logging and runbooks, and prototype AI use cases on people processes, productionising the ones that prove their worth.
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 integrations, and act as first-line troubleshooter for the People team, leading issue resolution through to production with a clear audit trail.
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 controls, retention rules and audit trails for employee data.
Provide clear enablement materials in Notion so the People team and managers can use our systems confidently, with strong tier-1 support via a bot.

What We'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 Mistral's own models and tooling.
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 BI.
You are low-ego and team-spirited, and you take a prioritised problem and run with it in ambiguity: you would rather build a first version and iterate than wait for a perfect spec. You start from the HR need, not the technology, stay hands-on, and have a track record of building foundations in growing organisations without creating legacy.

What We Offer

We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.

For the most up-to-date details on benefits available in your location, please refer to our Benefits page.

Privacy Policy

Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy.

How we rate this

People Tech & Analytics Engineer at Mistral AI rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

People Tech & Analytics Engineer is an open job at Mistral AI.
Level rates this role AI Level 3 of 4: Works on AI.
The role is based in Paris and is marked remote.
The job was posted on October 28, 2026.
Seniority: mid.
Applications are handled by Mistral AI. Apply on Mistral AI

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Data PipelinesHr TechPeople AnalyticsAutomationPythonZapier AIN8nMetabase

Questions you could be asked

Tell me about a project where data pipelines was part of your work. What did you do?
Tell me about a project where hr tech was part of your work. What did you do?
Tell me about a project where people analytics was part of your work. What did you do?
Tell me about a project where automation was part of your work. What did you do?
Tell me about a project where python was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Data Pipelines, Hr Tech, People Analytics, Automation, and Python. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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