Analytics Engineer

Salary: £70,000 - 105,000 per year

Requirements:

• Solid SQL and dbt experience, with comfort owning models end to end.
• Working knowledge of event-based tracking tools like Segment or Amplitude.
• Experience with Git-based development workflows, including opening and reviewing pull requests.
• Clear communication skills to explain data definitions and structures to both technical and non-technical stakeholders.
• Genuine day-to-day use of AI tooling as part of a standard coding and workflow routine.
• Comfort navigating ambiguity and untangling legacy logic to build modern foundations.
• Heavy experience in dbt modelling within a product-led environment.
• Experience working with stakeholders and collaborating with product teams.
• English language application and communication skills.

Responsibilities:

• Build and maintain dbt models in our new Analytics Warehouse using a clean, layered architecture, migrating logic off legacy tools as we go.
• Own tracking plan implementation and QA directly in Segment and Amplitude in close partnership with Product and Engineering.
• Support experimentation by modelling assignment and outcome data into structured formats that analysts and PMs can query directly.
• Define and document metrics in our semantic layer, ensuring a single authoritative definition so downstream BI tools and AI applications yield consistent answers.
• Apply AI-augmented data modelling practices as a standard part of how we write, review, and migrate code.
• Partner with Product Managers and Analysts to turn one-off questions into durable, reusable data models.
• Maintain data quality in our domain through dbt tests, freshness SLAs, and proactive monitoring.
• Ramp up on our dbt project structure, tracking plans, and migration roadmap while shipping small, reviewed code changes early on.
• Take ownership of a dedicated slice of the migration, such as an event domain or our core experimentation data models.
• Establish semantic layer definitions for our domain so analysts and PMs can self-serve accurate metrics without custom workarounds.

Technologies:

• AI
• Git
• Support
• Looker
• SQL
• dbt
• BigQuery
• Cloud
• Embedded
• Exposed
• GCP

More:

We at Pleo are changing spend management by building solutions that make managing money seamless, empowering, and effective for finance teams and employees. We are a driven, progressive, and kind team of 850+ people from over 100 nationalities, serving more than 40,000 customers. This role sits in our Product Intelligence team within our Intelligence function, and we are migrating our analytics stack onto a new Analytics Warehouse and Omni while moving off legacy tools like Looker and Hippocampus. The role is based in London, Copenhagen, Lisbon, or Madrid, with a hybrid working setup. We offer benefits including a Pleo card, lunch on workdays, private healthcare depending on location, 25 days of holiday plus public holidays, the option to buy 5 extra days, flexible working options, free mental health support, and generous paid parental leave. The application process includes an intro call, SQL test, hiring manager interview, team interview with live case, and a final interview.

last updated 36 week of 2026