Data Engineer, Places
WHAT YOU’LL 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.
MUST HAVE
- Strong Python and SQL.
- Production experience with Python or Scala.
- Experience with PySpark, Spark SQL, Spark Streaming, Parquet, and Iceberg.
- Experience with large datasets and data pipelines.
- Experience with geospatial data, POI datasets, place matching, or similar real-world entity data.
- Comfort with metrics, experimentation, and data quality measurement.
- Comfort working near backend systems and reading production code.
NICE TO HAVE
- Experience in maps, mobility, local search, POI data, or geospatial systems.
- Experience with ranking, recommendations, embeddings, or entity resolution.
- Experience with Flink or similar stream processing systems.
- Experience reading or making scoped changes in Rust-backed systems.
LIFE AT AMO
To ensure that everyone is set up for success within our way of working, we work together onsite 5 days a week.
We wanted to make sure coming to the office was as comfortable as possible for you:
- We chose a location in central Paris, near Opera (Metro lines 3,8,9 and RER A).
- We have a beautiful Parisian-style office with high ceilings, balconies, and huge windows. So a lot of natural light!
Because life outside of work should also be stress-free, we cover:
- Health care (100% coverage).
- Maternity Leave, Paternity Leave, Second Parent Leave (salary maintained at 100%).
- Vacation days: 8-9 weeks (total) per year - (European summer? 🥹😎).
- 5 weeks of paid time off (by ...