Data Engineer, Places
Amo, Paris
What you will do
- Build pipelines for place and location-related data.
- Work with noisy real-world signals and large geospatial datasets.
- Improve quality, reliability, and observability of derived datasets.
- Define metrics and feedback loops for data quality and attribution.
- Prototype in Python, SQL, notebooks, or similar tools.
- Integrate scoped production experiments with amo’s backend systems.
- Run offline evaluations and A/B tests where relevant.