Staff Analytics Engineer

Job not on LinkedIn

🔥 0 minutes ago

🌐 United Kingdom, Denmark, +2 more countries – Remote

🇬🇧 United Kingdom – Remote 🇩🇰 Denmark – Remote 🇵🇹 Portugal – Remote 🇪🇸 Spain – Remote

⏰ Full Time

🔴 Lead

📊 Analytics Engineer

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Pleo

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2015

🤝 B2B

☁️ SaaS

💳 Fintech

💰 $42.9M Debt Financing - Pleo on 2024-04

B2B • SaaS • Fintech

Pleo is a spend-management platform for businesses that provides company cards, automated expense management and configurable spend controls. Its product messaging highlights AI-powered reviews, card limits, approval flows and other tools to manage corporate spending for small, medium and enterprise customers. Pleo is delivered as software to help finance teams control, track and automate business expenses and card usage.

📋 Description

• Own and define Pleo's semantic layer, including metric definitions, structure, location, and enforcement • Set data modelling standards across the Analytics Engineering function using clean, layered, well-tested dbt architecture • Build and run the Analytics Engineering community of practice through code reviews, shared patterns, documentation, and onboarding • Own AI-native development practices for writing, reviewing, and migrating data models • Evaluate AI coding tools, manage associated risks, and guide adoption across the Analytics Engineering community • Lead AI-augmented migration work across the Analytics Warehouse and Operational Data Platform • Design structured data models and metric definitions for reliable AI-service consumption • Engage backend and product engineers to improve upstream data contracts and schema ownership • Contribute to external customer-facing Data & AI Products, including conversational analytics • Map current modelling standards and semantic-layer gaps during the first six months • Contribute to semantic-layer tooling decisions and onboard Analytics Engineers through documentation, live sessions, and PR reviews

🎯 Requirements

• Deep demonstrated expertise in dbt and data modelling practices • Deep BigQuery and SQL expertise, including performance, cost considerations, and complex analytical-domain architecture • Proven experience owning a semantic layer using LookML, dbt MetricFlow, or equivalent • Genuine AI-native development practice in a data engineering context using Claude Code, GitHub Copilot, or equivalent • Track record of setting and enforcing standards across teams without direct management authority • Understanding of LLM and agentic-tool requirements for data modelling, documentation, and metric definitions • Proven experience engaging with backend engineers on data contracts and senior stakeholders on semantic-layer strategy • Experience leading technical initiatives with organisation-wide or cross-team impact in a 500–1000+ person tech business • Prior experience owning a semantic layer is non-negotiable • English-language application and ability to use English as the company language

🏖️ Benefits

• Remote work arrangement • Accessibility support and an interview process adapted to candidates' requirements • Human review of every application • Opportunity to work with a diverse team of 850+ people from over 100 nationalities