Data Engineer

Signify Technology; Paris; Hybride; EUR 70 000 - 110 000; Plein temps

Avantages offerts par ce poste

100% healthcare coverage.

Fully paid maternity, paternity, and第二

Résumé du poste

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.

Responsabilités

• 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.

Connaissances

Python

SQL

PySpark

Spark SQL

Geospatial data

Data quality

Backend integration

POI data

Embeddings

Flink

Rust

Description du poste

Job title: Data Engineer

Job type: Perm

Role Location: Paris, France - 5 x per week in office

The company: A fast-growing technology company building data-driven products around places, locations, and real-world experiences. The team works with large-scale datasets and complex real-world signals to build reliable, high-quality data products, who are searching for an experienced Data Engineer, specifically experienced in geospatial data, place matching etc.

What makes this role different: is that unlikea traditional data engineering role focused primarily on pipelines, storage, and infrastructure, this position sits at the intersection of data engineering and real-world places data — working with noisy geospatial signals to identify, match, enrich, and measure the quality of places and locations.

Role and 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.

Job requirements:

• Strong Python and SQL skills.
• Production experience with Python or Scala.
• Experience with PySpark, Spark SQL, Spark Streaming, Parquet, and Iceberg.
• Strong experience working with large-scale datasets and data pipelines.
• Experience with geospatial data, POIs, entity matching, or similar real-world data (must have)
• 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 (nice to have)
• Experience with ranking, recommendations, embeddings, or entity resolution (nice to have)
• Experience with Flink or similar stream processing systems (nice to have)
• Experience reading or making scoped changes in Rust-backed systems (nice to have)

Benefits:

• 100% healthcare coverage.
• Fully paid maternity, paternity, and second-parent leave.
• 8+ PTO, including additional RTT and public holidays.
• Company-wide shutdowns during the year
• Central Paris office with excellent public transport connections.
• Collaborative, fully onsite working environment.

Accessibility Statement: We make an active choice to be inclusive towards everyone every day. Please let us know if you require any accessibility adjustments through the application or interview process.

Our Commitment to Diversity, Equity, and Inclusion: Signify’s mission is to empower every person, regardless of their background or circumstances, with an equitable chance to achieve the careers they deserve. Building a diverse future, one placement at a time.

Check out our DE&I page here