Staff Analytics Engineer: Semantic Layer & AI-Driven Data

Pleo; Denmark; On-site; DKK 900,000 - 1,200,000; Full time

Job summary

Pleo is seeking a senior Analytics Engineer to lead the semantic layer and analytics standards across the organization. You will shape modelling practices, guide AI-native development, and collaborate with backend engineers and product teams to ensure consistent data contracts and scalable analytics.

This role envisions building from the ground up within a modern data stack, owning the semantic layer, and driving governance across analytics domains to empower AI-enabled insights for thousands of

Qualifications

• Deep demonstrated expertise in dbt and modelling practices.
• Deep BigQuery and SQL expertise.
• Experience owning a semantic layer (LookML, dbt MetricFlow, or equivalent).
• AI-native development practice in a data engineering context.
• Track record of setting standards across teams you don't directly manage.
• Understanding of what LLMs and agentic tools need from a data layer.
• Proven experience engaging with backend engineers on data contracts and with senior stakeholders.

Responsibilities

• Own the semantic layer: define metric definitions and enforce canonical definitions.
• Set data modelling standards for the function across domains and complexity.
• Build and run the Analytics Engineering community of practice with documentation and onboarding.
• Own the AI-native development practice and integrate AI tools into workflow.
• Lead AI-augmented migrations to accelerate data modelling across platforms.
• Design data models and metric definitions for AI services consumption.
• Engage with backend engineers to drive data contracts and schema ownership upstream.
• Contribute to Data & AI Products for external customer-facing analytics.

Skills

dbt modelling

BigQuery

SQL

semantic layer

LookML / dbt MetricFlow

AI-native development

data contracts

stakeholder engagement

Tools

Claude Code

GitHub Copilot

Job description

Pleo is seeking a senior Analytics Engineer to lead the semantic layer and analytics standards across the organization. You will shape modelling practices, guide AI-native development, and collaborate with backend engineers and product teams to ensure consistent data contracts and scalable analytics.

This role envisions building from the ground up within a modern data stack, owning the semantic layer, and driving governance across analytics domains to empower AI-enabled insights for thousands of