Analytics Engineer
Pleo · Remote · United Kingdom · Denmark · Portugal · Spain ·
COMPENSATION
€•• – ••k
Listed on the employer's job board (Ashby)
- Fully remote or hybrid
- SQL + dbt focus
- BigQuery & Airflow
- Product-led environment
- Visa sponsorship likely
Join Pleo's Product Intelligence team to establish trustworthy, self-serve product data. You will own the data modelling layer, including dbt models and metric definitions, while migrating from legacy tools like Looker to a modern stack featuring BigQuery and Omni.
What you'll do
- Build and maintain dbt models in the new Analytics Warehouse with clean architecture
- Own tracking plan implementation and QA in Segment and Amplitude
- Model assignment and outcome data to support experimentation efforts
- Define and document metrics in the semantic layer for consistent reporting
- Apply AI-augmented practices for coding, reviewing, and migrating code
- Partner with stakeholders to convert ad-hoc questions into reusable data models
- Ensure data quality through dbt tests, freshness SLAs, and monitoring
What you'll need
- Solid experience with SQL and owning dbt models end-to-end
- Working knowledge of event-based tracking tools like Segment or Amplitude
- Experience with Git-based workflows including pull requests
- Ability to explain data structures to technical and non-technical audiences
- Daily use of AI tooling in coding and workflow routines
- Comfort navigating ambiguity and refactoring legacy system logic
Stack
- SQL
- dbt
- BigQuery
- Airflow
- Segment
- Amplitude
- Omni
- Git
How you'll work
- Flexible working options supporting hybrid or fully remote setups
- English is the primary company language
What you get
- Pleo card for company expenses
- Lunch allowance or catered meals on work days
- Private healthcare coverage depending on location
- 25 days annual holiday plus public holidays
- Option to purchase 5 additional holiday days
- Free mental health support via MyndUp
- Generous paid parental leave policies
Hiring process
- 30-minute intro call with Talent Partner
- SQL test completed via CoderPad
- 45-minute interview with Data & Analytics Manager
- Team interview and live data modelling case via CodeSignal
- 30-minute final interview with VP of Data & AI