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.

• 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.