Staff Analytics Engineer

The role

You will act as a technical leader owning the semantic layer and analytics standards for Pleo. You will develop, improve, maintain, and evangelize modeling standards and AI-augmented development practices across the function.

What you will do

• Own the semantic layer and define metric definitions and enforcement
• Set data modeling standards for the function
• Build and run the Analytics Engineering community of practice
• Own the AI-native development practice using AI coding tools
• Lead responsible AI-augmented migration work
• Design data models and metric definitions for AI service consumption
• Engage with backend and product engineers on data contract discipline
• Contribute to Data & AI Products for external customer-facing analytics

Required qualifications

• Deep demonstrated expertise in dbt and modelling practices
• Deep BigQuery and SQL expertise
• Real experience owning a semantic layer (LookML, dbt MetricFlow, or equivalent)
• AI-native development practice in a data engineering context using AI coding tools
• Track record of setting standards across teams through influencing
• Understanding of what LLMs and agentic tools need from a data layer
• Proven experience engaging with backend engineers on data contracts
• Proven experience engaging with senior stakeholders on semantic layer strategy
• Experience leading technical initiatives with organization-wide impact for a tech business of 500-1000+ people
• Prior experience owning a semantic layer is non-negotiable
• English proficiency

Before you apply

• Applications must be submitted in English
• Applications must be submitted through the system
• If reapplying for the same role, wait six months from your last decision

About the company

Pleo builds spend solutions to make managing money seamless for finance teams and employees. The company consists of over 850 people from over 100 nationalities.