Analytics Engineer

Pleo; London; Hybrid; GBP 45,000 - 70,000; Full time

Job summary

Pleo is seeking an Analytics Engineer to join the Data Service team. In this role, you'll design and refine data models, enabling self-serve analytics across teams. You'll collaborate with various stakeholders to ensure data accuracy and enhance overall analytics capabilities.

Benefits

Your own Pleo card for work-related spending

Catered lunches or monthly lunch allowance

Private healthcare insurance

25 days of paid vacation plus public holidays

Paid parental leave

Mental health support with MyndUp access

Remote or office work flexibility

Access to LinkedIn Learning

Qualifications

• Experience with dbt and cloud data warehouses required.
• Strong skills in SQL and data modeling needed.
• Familiarity with Git workflows and CI/CD for analytics code.

Responsibilities

• Design and build data models for dashboards and analyses.
• Collaborate with teams to structure and document datasets.
• Implement testing strategies to ensure data accuracy.

Skills

SQL

dbt

data modeling

collaboration

problem-solving

Tools

BigQuery

Git

Job description

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 No more outdated processes, clunky spreadsheets, or frustrating delays - we believe spend management should be seamless, empowering, and surprisingly effective for finance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

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

What you’ll bring

• Solid experience working with dbt and modern cloud data warehouses like BigQuery
• Strong SQL skills and experience building well-structured, reusable models in a layered architecture.
• 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 - you know when to ship and when to refactor
• Experience working closely with stakeholders to clarify requirements and ensure data models meet real-world needs
  
  

Who you’ll be working with

You’ll report to our Data Service Team Lead and work closely with other (analytics) engineers, embedded analysts, and the Data Infrastructure team. The Data Service team sits within the central Data Platform group at Pleo and plays a key role in enabling scalable, trustworthy analytics across the company.

How you’ll grow

This is a great opportunity to:

• Develop deep expertise in analytics engineering and modern data modelling practices
• Learn how to design and evolve the semantic layer that supports consistent, scalable reporting across domains
• Gain hands-on experience contributing todata governance practices
• Learn from experienced engineers and grow toward increased ownership, autonomy, and architectural influence
• Expand your impact by enabling analysts and stakeholders to work more effectively with trusted, well-documented data

Benefits

• Your own Pleo card for seamless work-related spending
• Catered lunches in select offices or a monthly lunch allowance for remote employees
• Private healthcare insurance depending on your location
• 25 days of paid vacation plus public holidays, with the option to purchase additional days
• Paid parental leave
• Mental health support with free access to MyndUp
• Flexibility to work remotely or from one of our offices
• Access to personal development tools, including LinkedIn Learning