Analytics Engineer

The role

You will build and maintain dbt models in a new Analytics Warehouse. You will own tracking plan implementation and support experimentation by modelling data. You will also define metrics in a semantic layer to support product decisions.

What you will do

• Build and maintain dbt models in a new Analytics Warehouse.
• Own tracking plan implementation and QA in Segment and Amplitude.
• Support experimentation by modelling assignment and outcome data.
• Define and document metrics in the semantic layer.
• Apply AI-augmented data modelling practices.
• Partner with Product Managers and Analysts to create reusable data models.
• Maintain data quality through dbt tests, freshness SLAs, and monitoring.

Required qualifications

• Solid SQL and dbt experience.
• Working knowledge of event-based tracking tools like Segment or Amplitude.
• Experience with Git-based development workflows.
• Clear communication skills to explain data to technical and non-technical stakeholders.
• Genuine day-to-day use of AI tooling as part of coding and workflow routine.
• Comfort navigating ambiguity and untangling legacy logic.

Benefits

• Your own Pleo card
• Catered meals or a lunch allowance on work days
• Comprehensive private healthcare depending on location
• 25 days of annual holiday plus public holidays
• Option to purchase 5 additional holiday days through salary sacrifice
• Flexible working options supporting hybrid and fully remote setups
• Free mental health and well-being support through MyndUp
• Generous paid parental leave policies

Before you apply

• Submit application in English
• Applications must be submitted through the system
• If reapplying for the same role, wait six months from your last decision

About the company

Pleo builds spend solutions to make managing money seamless for finance teams and employees. The company consists of over 850 people from over 100 nationalities.