Remote Sensing Engineer – Forestry

Mybookinou; Paris; Sur place; EUR 45 000 - 65 000; Plein temps

Résumé du poste

Mybookinou is seeking a Remote Sensing Engineer – Forestry in Paris. This role involves integrating multi-source EO datasets to analyze forest ecosystems and advance forest growth models. You'll work in a team focused on developing innovative forestry products and addressing ecological challenges.

Key responsibilities include managing ETL pipelines, developing mapping algorithms, and collaborating with experts. Ideal candidates are autonomous and scientifically minded, with strong communication skills.

Qualifications

• Expertise in remote sensing with a focus on forestry applications.
• Ability to design and implement ETL pipelines for geospatial data.
• Experience in developing algorithms for forest mapping.

Responsabilités

• Design, build, and maintain ETL pipelines for large-scale data.
• Process and analyze EO datasets for forestry purposes.
• Develop algorithms for biomass and carbon stock estimation.

Connaissances

Remote sensing expertise

ETL pipeline development

Geospatial analysis

Algorithm development

Collaboration with domain experts

Outils

Airflow

Docker

Kubernetes

GDAL

PostGIS

Description du poste

We are seeking a Remote Sensing Engineer – Forestry to join our team. As a specialist in remote sensing applied to forestry, you will focus on integrating and exploiting multi-source EO datasets (satellite, LiDAR, hyperspectral, radar) to deliver cutting‑edge insights into forest ecosystems. Your mission will include detecting tree species, estimating biomass and carbon, and analysing forest vulnerability to fires, pests, diseases, and storms. You will also advance and calibrate forest growth models, bridging EO technology with ecological expertise. You’ll join a multidisciplinary team of AI researchers, forest ecologists, and data engineers – where curiosity, autonomy, and impact drive every project. Together, you’ll prototype and scale new EO‑based forestry products, transforming scientific innovation into real‑world applications.

Key Responsibilities

• Design, build, and maintain ETL pipelines for large‑scale geospatial and non‑geospatial data.
• Process, analyse, and fuse EO datasets (Sentinel, Pléiades Néo, GEDI LiDAR, hyperspectral, radar).
• Develop algorithms for forest mapping, including species classification, canopy height models, biomass/carbon stock estimation, and volume modelling.
• Detect and monitor anomalies such as fire events, drought stress, and pest outbreaks.
• Support product development for FSC/PEFC certification, carbon/biodiversity valuation, and forest pricing.
• Develop and maintain data processing workflows using tools like Airflow and Docker/Kubernetes.
• Collaborate with domain experts to support advanced analytics (climate risk modelling, fire monitoring, ...).
• Contribute to the design and deployment of geospatial APIs and services.
• Document methods, maintain reproducibility, and ensure scalability of workflows.

Nice to Have

• Background in forestry analysis, climate risk, wildfire analysis, or environmental monitoring.
• Experience with open‑source geospatial frameworks (GDAL, PDAL, OGC standards).
• Experience with geospatial databases (PostGIS, DuckDB, SedonaDB) ensuring high performance for spatial queries and analytics.
• Experience with managing LiDAR & High‑Resolution data (Petabytes data) and High‑Performance Computer environment (HPC).
• Familiarity with containerisation and pipeline orchestration (Docker, Airflow, Kubernetes).
• Exposure to national/international forest dataset.

Soft Skills

• Autonomous, rigorous, and scientifically minded.
• Ability to communicate complex results clearly to technical and non‑technical audiences.
• Strong team spirit, open to interdisciplinary collaboration.
• Curious and proactive in exploring innovative approaches to forestry challenges.