Analytics Engineer

Analytics Engineer – Pleo

Introduction

Pleo is on a mission to revolutionise the way businesses manage company spending. We’re creating tools that promote autonomy, foster trust, and let teams focus on what truly matters. Our culture is built on transparency, collaboration, and a deep commitment to innovation.

About the role

We’re looking for an Analytics Engineer to join our Data Service team. In this role you’ll build and refine the data models, semantic layers, and data structures that enable self‑serve analytics across the company. You’ll work closely with analysts, engineers, and product managers to turn raw data into reliable, documented, and business‑friendly datasets in a fast‑paced, product‑led environment.

Applications are open from 25 Nov 2025 to 1 Dec 2025 09:00 GMT.

What You’ll Be Doing

• Design and build data models that power key dashboards, KPIs, and exploratory analyses for business analytics purposes (with a focus on commercial areas).
• Translate business logic into structured, testable, and well‑documented datasets used across teams.
• Collaborate with analysts, engineers, product managers, or other stakeholders to align on definitions, requirements, and model ownership.
• Help standardise 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 (Look
  ML) to enable consistent and scalable reporting.
• Participate in code reviews and continuously improve development workflows within the team.

Technologies used include: dbt, Big
Query, Looker (and Look
ML), SQL, Git
Hub Actions (CI/CD), Fivetran, Airflow.

What You Bring

• Proven experience collaborating with Analytics Engineers, Data Analysts, and commercial stakeholders on analytics initiatives.
• Solid experience working with dbt and modern cloud data warehouses such as Big
  Query.
• Deep experience with Looker (Look
  ML is a huge plus).
• Strong SQL skills and a layered architecture for reusable models.
• Solid understanding of data‑modelling methodologies such as Kimball.
• The ability to translate messy or ambiguous business logic into clean, performant transformations.
• Familiarity with Git‑based workflows, version control, and CI/CD practices for analytics code.
• A pragmatic, collaborative approach to problem‑solving, knowing when to ship and when to refactor.
• Experience clarifying requirements with stakeholders to ensure data models meet real‑world needs.

Why this role may be a good fit for you

• You enjoy working with stakeholders, understanding their business needs, and translating them into reusable data models.
• You like collaborating with analysts and helping them level up in dimensional modelling and the new analytics warehouse.
• You’re comfortable switching between different commercial domains (GTM, Finance, People).
• You want to work alongside other analytics engineers and influence modelling standards and tooling.
• You enjoy building in an evolving space where your feedback can shape how we work.

Why the role may not be for you

• You’re seeking a purely technical, infrastructure‑heavy role.
• You prefer staying in one domain rather than adapting to different business areas.
• You don’t enjoy stakeholder collaboration or translating business context into models.
• You want fully defined processes – our foundations are still being built.

Reporting & Development

You’ll report to the Data Service Team Lead and work closely with other analytics engineers and data analysts. In your first few months you’ll be onboarded to our analytics warehouse, modelling standards, and dbt workflows; learn how commercial domains use data and where their needs differ; take ownership of small‑medium modeling tasks end‑to‑end; collaborate on design reviews and semantic layer improvements; and help support analysts in dimensional modelling.

Compensation

• United Kingdom: £72, 000 – £80, 000 per year.
• Spain & Portugal: €75, 000 – €82, 500 per year.

The role can be based in Portugal, Spain or the UK – remote, hybrid, or in‑office. Visa sponsorship is not offered; candidates must have a valid right to work.

Benefits

• Your own Pleo card (no out‑of‑pocket spending).
• Lunch is on us for your work days – catered meals or a lunch allowance.
• Comprehensive private healthcare (Vitality, Alan or Médis).
• 25 days of holiday plus public holidays.
• Hybrid and fully remote working options.
• Option to purchase 5 additional days of holiday via salary sacrifice.
• Mynd
  Up provides free mental‑health and well‑being support.
• Paid parental leave.

Interview Process

• Intro call: 30‑minute chat with a Talent Partner.
• Hiring Manager interview: 60‑minute technical and domain discussion.
• Technical task: take‑home exercise completed at your own pace.
• Team interview: 60‑minute meeting to review your challenge and discuss technical details.

Applying

• Please submit your application in English only.
• Apply through our application system – all correspondence should come through there.
• We treat all candidates equally; please note our diverse hiring philosophy and EEO statement.
• Your application data is processed as a data processor; find more information in the FAQs section.