People Data & Automation Engineer

Lindus Health Limited; Greater London; On-site; GBP 70,000 - 110,000; Full time

Benefits offered by this job

Healthcare coverage

Parental leave

Retirement plans

Relocation support

Wellness programs

Meal and transportation allowances

Job summary

Mistral, the Europe-based AI company, is seeking a People Tech & Analytics Engineer to join the People team. You will build systems, data pipelines, and automations that power People Operations, linking HRIS, ATS, payroll, identity and finance tools, and shaping the data layer behind people metrics.

Reporting to the People Tech & Analytics Lead, you will ship automations, implement dashboards, and enable managers with reliable insights while collaborating with HR Ops and Reward stakeholders.

Qualifications

• 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.

Responsibilities

• 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.

Skills

SQL

Python

HR systems integrations

APIs

Data pipelines

Metabase

dbt

Snowflake

BigQuery

Tools

Metabase

dbt

Snowflake

BigQuery

Power BI

Job description

Mistral, the Europe-based AI company, is seeking a People Tech & Analytics Engineer to join the People team. You will build systems, data pipelines, and automations that power People Operations, linking HRIS, ATS, payroll, identity and finance tools, and shaping the data layer behind people metrics.

Reporting to the People Tech & Analytics Lead, you will ship automations, implement dashboards, and enable managers with reliable insights while collaborating with HR Ops and Reward stakeholders.