At a Glance
- Tasks: Build and automate HR systems, data pipelines, and workflows to enhance People Operations.
- Company: Join Mistral, a leading AI company transforming industries with innovative solutions.
- Benefits: Enjoy comprehensive benefits, including healthcare, wellness programs, and work-life balance support.
- Other info: Collaborative team culture with opportunities for growth and innovation in a dynamic environment.
- Why this job: Make a real impact by automating processes and improving HR tech at a cutting-edge AI firm.
- Qualifications: Experience in data engineering, strong SQL and Python skills, and familiarity with HR systems.
The predicted salary is between 63000 - 77000 £ per year.
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.
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy.
People Tech & Analytics Engineer in London employer: Mistral
Mistral is an exceptional employer that fosters a dynamic and collaborative work culture, where innovation thrives and diverse teams come together to tackle complex challenges in AI. As a Recruiting Operations Manager, you will benefit from a comprehensive package of perks tailored to support your well-being and professional growth, all while working in a company that values creativity and continuous improvement. With opportunities for meaningful contributions and a commitment to employee development, Mistral stands out as a rewarding place to advance your career in a rapidly evolving industry.
StudySmarter Expert Advice🤫
We think this is how you could land People Tech & Analytics Engineer in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Mistral!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like People Tech & Analytics Engineer at Mistral.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Mistral.
✨Apply Directly through Our Website
When you find a suitable opening like People Tech & Analytics Engineer at Mistral, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace People Tech & Analytics Engineer in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Mistral, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Mistral. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Mistral
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Mistral!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
