GIS Engineer

Job Description

THE DATA TEAM
Our Data team’s ambition is to model the European real estate market through a scientific approach while developing innovative products. Within this department, the Geo Engineering team is made up of several profiles with strong expertise in computational geography (geographic data sources, vector modeling, geocoding, web mapping applications, etc.), as well as skills in information extraction and processing, database management, and system and software architecture. We work closely with PhD students and researchers, as well as experts in mathematics, economics, finance, statistics, machine learning, and data engineering.

The responsibilities of the Geo Engineering team include:
● Integrating and consolidating the best geographic data sources into specialized data models to support the development of our R&D projects.
● Exposing high-availability, high-volume geographic APIs and UIs (querying, geocoding, mapping, routing, etc.) to support the development of our real estate platforms.
● Strengthening the Data Science team with a stable R&D environment.
● Ensuring the proper operation (production, exposure, monitoring) and evolution of our real estate platforms.

We also maintain frequent interactions with French research laboratories, enriching our thinking around real estate market modeling. A scientific advisory board composed of recognized academic figures—specialists in housing, economics, mathematics, and urban geography—meets twice a year to define the scientific strategy of the AVIV
Group.

WE ARE LOOKING FOR SOMEONE WHO CAN:
● Join a team of engineers specialized in geodata to collaborate on GIS pipelines, databases, and tools.
● Create and maintain scripts (Python, Jupyter, SQL, etc.) to monitor data quality and enrich or correct our geographic datasets.
● Source, cross-reference, and integrate relevant new geographic data (addresses, neighbourhoods, road networks, etc.)
● Support other teams (product, data, support, projects, etc.) with their geographic challenges and help them become autonomous.
● Contribute to the prioritization and monitoring of initiatives related to geographic reference datasets.
● Work in synergy with our existing cloud tools and data pipelines, even without being a data engineering expert.

Qualifications

THE IDEAL CANDIDATE:
● Has strong expertise in geomatics: GIS manipulation (QGIS), geocoding, reference datasets, projections, etc.
● Writes clean Python code and can create useful SQL queries for analysis.
● Is comfortable with basic scripting tools (Jupyter, Pandas, etc.) and eager to develop skills in cloud/data technologies (Airflow, Terraform, etc.).
● Is curious, resourceful, versatile, and motivated by solving high-impact business problems.
● Has strong listening skills and can adapt to a variety of stakeholders (engineers, analysts, product owners, support teams, etc.).
● Has initial experience or strong interest in large-scale geographic data (good knowledge of French open data geographic datasets is a plus).

OUR TECH STACK:
● AWS
● Python, Docker, Airflow (MWAA), PostgreSQL (RDS Aurora), OpenSearch, Fargate
● GitHub, Terraform, CircleCI, Datadog
● PostGIS, GDAL, QGIS
● React, Mapbox GL JS

EXAMPLES OF PROJECTS YOU MAY WORK ON:
● Industrialization of a building typology computation pipeline across Europe.
● Development and improvement of an address suggestion and validation API for high-traffic websites.
● Design of a country-wide geographic database in Europe and its deployment in a dynamic mapping application.
● Redesign of the monitoring and alerting system for hundreds of production data pipelines.
● Development and optimization of a high-volume internal routing engine.

Additional Information

What We Offer:

• Ownership of a meaningful product domain with real business impact.
• A data-driven and collaborative Product & Tech culture.
• High visibility and influence within the organization.
• Competitive compensation and benefits.
• Hybrid working model.