Staff Analytics Engineer: Semantic Layer & AI-Driven Modeling

Creandum; España; On-site; EUR 90,000 - 140,000; Full time

Job summary

Pleo is seeking a senior Analytics Engineer to own the semantic layer and analytics standards across the organization. You’ll define and evangelize modelling standards, build AI-augmented development practices, and lead the migration of data models across the Analytics Warehouse and Operational Data Platform.

You’ll interact with backend engineers and senior stakeholders to ensure data contracts and governance scale.

Qualifications

• Deep demonstrated expertise in dbt and modelling practices across a function.
• Deep BigQuery and SQL expertise, including performance and architectural challenges.
• Experience owning a semantic layer (LookML, dbt MetricFlow, or equivalent).
• AI-native development practice in data engineering context with governance.
• Proven ability setting standards across teams you don't manage.
• Understanding of what LLMs need from a data layer and metrics for AI tools.
• Credible engagement with backend engineers on data contracts and with senior stakeholders.

Responsibilities

• Own the semantic layer: define metric definitions, structure, storage, and enforcement.
• Set data modelling standards for the function across domains and complexity levels.
• Build and run analytics engineering community of practice: reviews, docs, patterns, onboarding.
• Own the AI-native development practice and integrate AI tools into the workflow.
• Lead responsible AI-augmented migration work for analytics platforms.
• Design data models and metrics enabling AI services with minimal human intervention.
• Engage with backend engineers to drive data contracts and schema ownership upstream.
• Contribute to Data & AI Products for external analytics collaborations.

Skills

dbt modelling

BigQuery

SQL

Semantic layer

AI-native development

Data contracts

LLMs

Stakeholder engagement

Tools

LookML

dbt

GitHub Copilot

Job description

Pleo is seeking a senior Analytics Engineer to own the semantic layer and analytics standards across the organization. You’ll define and evangelize modelling standards, build AI-augmented development practices, and lead the migration of data models across the Analytics Warehouse and Operational Data Platform.

You’ll interact with backend engineers and senior stakeholders to ensure data contracts and governance scale.