Geospatial Data Engineer – Places & POIs, Paris (In-Office)

Signify Technology; Paris; Hybrid; EUR 70,000 - 110,000; Full time

Benefits offered by this job

100% healthcare coverage.

Fully paid maternity, paternity, and第二

Job summary

Signify Technology is seeking an experienced Data Engineer in Paris to join a team building data-driven products around places and real-world signals. You will work at the intersection of data engineering and geospatial data, handling noisy geospatial signals to identify, match, enrich, and measure the quality of places and locations.

The role emphasizes pipelines, data quality, and observability, with hands-on work in Python/SQL, PySpark, and geospatial datasets.

Qualifications

• Strong Python and SQL skills.
• Production experience with Python or Scala.
• Experience with PySpark, Spark SQL, Spark Streaming, Parquet, and Iceberg.
• Experience with geospatial data, POIs, entity matching, or similar real-world data.
• Understanding of data quality, metrics, and experimentation.
• Comfortable working alongside backend systems and navigating production code.
• 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.
• Knowledge of Rust-backed systems is a plus.

Responsibilities

• Build and improve data pipelines for location and place-related data.
• Work with large, complex, and noisy geospatial datasets.
• Improve data quality, reliability, monitoring, and observability.
• Develop metrics and feedback loops to measure data quality.
• Prototype and analyse solutions using Python, SQL, notebooks, and similar tools.
• Support production experiments and integrations with backend systems.
• Conduct offline evaluations and A/B testing where appropriate.

Skills

Python

SQL

PySpark

Spark SQL

Geospatial data

Data quality

Backend integration

POI data

Embeddings

Flink

Rust

Job description

Signify Technology is seeking an experienced Data Engineer in Paris to join a team building data-driven products around places and real-world signals. You will work at the intersection of data engineering and geospatial data, handling noisy geospatial signals to identify, match, enrich, and measure the quality of places and locations.

The role emphasizes pipelines, data quality, and observability, with hands-on work in Python/SQL, PySpark, and geospatial datasets.