Analytics Engineer

Intro

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 No more outdated processes, clunky spreadsheets, or frustrating delays - we believe spend management should be seamless, empowering, and surprisingly effective for finance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.

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.

Open for applications from 25th November 2025 to 1st December 2025 09. 00 GMT. We will not review any applications before the closing date.

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 business 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: dbt, Big
Query, Looker (and Look
ML), SQL, Github 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 like Big
  Query
• Strong SQL skills and experience building well‑structured, reusable models in a layered architecture
• Solid understanding of data modelling methodologies such as Kimball
• The ability to translate messy or ambiguous business logic into clean, performant data transformations
• Familiarity with Git‑based workflows, version control, and basic CI/CD practices for analytics code
• A pragmatic and collaborative approach to problem‑solving
• Experience working closely with stakeholders to clarify requirements and ensure data models meet real‑world needs

Why is this role 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) rather than focusing on a single area
• You want to work alongside other analytics engineers and contribute to shaping our modeling standards and tooling
• You enjoy building in a space that’s still evolving, where your feedback and suggestions can influence how we work

This role may not be for you if

• You want 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

Who You’ll Be Working With And Reporting To

You’ll report to our Data Service Team Lead and work closely with other (Analytics) engineers, and Data Analysts.

How You’ll Develop In This Role

• Get onboarded to our Analytics Warehouse, modelling standards, and dbt workflows
• Learn how our commercial domains (GTM, Finance, People) use data and where their needs differ
• Work closely with Analysts to turn business questions into clear modeling requirements
• Start owning small–medium modeling tasks end‑to‑end, including tests and documentation
• Collaborate with other analytics engineers on design reviews, modeling patterns, and semantic layer improvements
• Contribute ideas and feedback as we refine our processes, standards, and ways of working
• Help support analysts in understanding dimensional modeling and navigating the new AW environment

The package

Annual salary varies based on your location:

• United Kingdom: £72, 000 - £80, 000
• Spain & Portugal: €75, 000 - €82, 500

Role can be based in Portugal, Spain or the UK. Remote, hybrid or in‑office options available. Valid right to work required.

Show me the benefits!

• Your own Pleo card (no more out‑of‑pocket spending!)
• Lunch is on us for your work days – enjoy catered meals or receive a lunch allowance based on your local office
• Comprehensive private healthcare – coverage options include Vitality, Alan or Médis
• We offer 25 days of holiday + your public holidays
• Option to purchase 5 additional days of holiday through a salary sacrifice
• We use Mynd
  Up to give employees access to free mental health and well‑being support
• Paid parental leave – we want to be supportive of families and help you feel you don’t have to compromise your family due to work

The Interview Process

• Intro call: A 30‑minutes chat with our Talent Partner to discuss the role and your background
• Hiring Manager interview: A 60‑minute meeting with the team manager to deep dive into your technical experience, domain knowledge and project experience
• A technical task: this is a take‑home exercise you complete in your own time
• A Team interview: a 60‑minute interview with the team where we’ll follow‑up on your take‑home challenge and also ask a few technical questions

Why join us?

Working at Pleo means you’re working on something very exciting: the future of work. Our mission is to help every company go beyond the books. Pleo itself means ‘more than you’d expect’. We think company spending should be delegated to all employees and teams, automated, and drive a culture of responsible spending. Finance teams shouldn’t be siloed – they should work in unity with marketing, sales, IT and everyone else.

About Your Application

• Please submit your application in English; it’s our company language so you’ll be speaking lots of it if you join.
• We treat all candidates equally: If you are interested please apply through our application system – any correspondence should come from there.
• We’re on a mission to make everyone feel valued at work. We embrace and encourage people from all backgrounds to apply – regardless of race, ethnicity, colour, religion, nationality, gender, sex, sexual orientation, age, marital status, disability, neurodiversity, socio‑economic status, culture or beliefs.
• When you submit an application we process your personal data as a data processor. Find out more about how your data is used in the FAQs section at the bottom of our jobs page.