Data Engineer, Places

About the role

amo is looking for a Data Engineer focused on place and location data, working in central Paris. The role involves building pipelines for noisy real-world signals and large geospatial datasets, improving the quality and reliability of derived datasets, and integrating experiments with the company's backend systems.

Key responsibilities

• 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.

Required profile

• Production experience with Python or Scala.
• 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.

Required skills

• Strong Python and SQL.
• PySpark, Spark SQL, Spark Streaming, Parquet and Iceberg.

Nice to have

• Maps, mobility, local search, POI data or geospatial systems.
• Ranking, recommendations, embeddings or entity resolution.
• Flink or similar stream processing systems.
• Reading or making scoped changes in Rust-backed systems.

What we offer

• Onsite work 5 days a week in a central Paris office near Opera.
• Health care fully covered.
• Maternity, paternity and second-parent leave with salary maintained at 100%.
• 8-9 weeks of vacation per year, including 5 weeks of paid time off and about 11 bank holidays.
• Two shutdowns per year (two weeks in summer, one in winter).