ANALYTICS ENGINEER

Location
Lisbon, London, Madrid
Team
Data & Analytics
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At Pleo, we’re on a mission to revolutionise the way businesses manage company spending. No more outdated processes, clunky spreadsheets, or frustrating delays - we believe spend management should be seamless, empowering, and surprisingly effective for finance teams and employees alike. We’re creating tools that promote autonomy, foster trust, and let businesses focus on what truly matters.
Our culture is built on transparency, collaboration, and a deep commitment to innovation – which is reflected in our spending solution. At Pleo, you’ll join a passionate team shaping the future of work, all while having some fun along the way.

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We’re looking for new friends, gifted minds, team players, restless talents and passionate problem solvers.
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How Pleo hires
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1
The first call(s)
Let’s get to know each other. We want to find out more about you, your motivations, and give you more information about the role.
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2
The challenge
The task is deliberately open-ended and based on something you’ll actually work on. There are no right or wrong answers here.
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3
The team interview
Expect to share a (virtual) meeting room with two to three people you’ll work with regularly if you get the job.
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4
The final interview
A call with someone in leadership who’ll walk you through the big picture and chat about how your role will figure into that.
Find out more

ABOUT THE ROLE

We’re looking for an Analytics Engineer to join our Data Service team at Pleo. In this role, you’ll focus on building and refining the data models, semantic layers, and data structures that enable self-serve analytics across the company.
You’ll work closely with analysts and engineers to turn raw data into reliable, documented, and business-friendly datasets. This role is ideal for someone who loves translating complex requirements into clean and scalable models, and who wants to work in a fast-paced, product-led environment where data is core to decision-making.

WHAT YOU’LL BE DOING

• Design and build data models that power key dashboards, KPIs, and exploratory analyses
• Translate business logic into structured, testable, and well-documented datasets used across teams
• Collaborate with analysts, engineers, product managers, or other business stakeholders to align on definitions, requirements, and model ownership
• Help standardize modelling conventions and improve scalability and maintainability of our warehouse
• Implement and maintain testing strategies to ensure data accuracy and trust
• Contribute to our semantic layer (LookML) to enable consistent and scalable reporting
• Participate in code reviews and continuously improve development workflows within the team