Data Engineer, Places

Amo·Parismid

En corto

→Construir infraestructuras de datos para información de lugares y geolocalización.
→Trabajar con datos geoespaciales ruidosos y grandes conjuntos de datos en producción.
→Destacado: trabajo híbrido en persona 5 días/semana en un bonito espacio en París.

No se requiere inglés.

En ~1 minuto te damos: quién te entrevista, las preguntas probables con respuestas desde tu CV, y tu CV adaptado a esta vacante. Gratis, sin tarjeta.

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¿Qué piden?

✓Python y SQL sólidos.
✓Experiencia en producción con Python o Scala.
✓Conocimiento de PySpark, Spark SQL, Spark Streaming, Parquet e Iceberg.
✓Experiencia con grandes conjuntos de datos y pipelines de datos.
✓Familiaridad con datos geoespaciales, POI o datos de entidades reales.
✓Capacidad para medir calidad de datos, métricas y experimentos.

¿No cumplís todo? Es lo normal — tu dossier gratis te dice qué gaps tenés y cómo cubrirlos en la entrevista.

PythonSQLPySparkSpark SQLSpark StreamingParquetIcebergNotebooksFlinkRust

¿A quién escribirle en Amo?

Tu dossier gratis identifica a las personas que te entrevistarían — con su background, qué valoran y cómo escribirles para destacar antes de aplicar.

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 the state); 1-2 additional weeks (RTT, based on our company contract); ~11 bank holidays. We shut down entirely twice a year, two weeks in summer and one week in winter to allow everyone to truly recharge and to avoid prolonged slowdowns (especially in the summer). These pauses are part of your total vacation time, giving everyone a real chance to unplug and recharge. No Slack, no email, no FOMO.

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