Geospatial Data Engineer

GHGSAT; Montreal; On-site; CAD 70,000 - 90,000; Full time

Job summary

An innovative environmental technology company in Montreal is seeking a Geospatial Data Engineer to build and optimize geospatial data and AI/ML pipelines. The ideal candidate will have proficiency in Python and experience with geospatial libraries like GeoPandas and QGIS. This role offers a competitive salary, flexible work environment, and the opportunity to contribute to meaningful climate impact initiatives.

Benefits

Competitive salary + stock options

Health/Dental benefits

Paid Time Off + floating statutory holidays

Flexible work environment

Qualifications

• 2-4 years of experience in data engineering focused on geospatial data.
• Proficiency in Python and related scientific libraries.
• Experience with cloud infrastructure and containerization.

Responsibilities

• Design and optimize scalable geospatial data and AI/ML pipelines.
• Manage and analyze various geospatial data sources.
• Collaborate with cross-functional teams to implement new data solutions.

Skills

Geospatial data processing

Python programming

Data engineering

Effective communication

Tools

GeoPandas

QGIS

AWS

Docker

PostgreSQL/PostGIS

Job description

Overview

GHGSat is mapping and tracking the world's greenhouse gas (GHG) emitters. To achieve this goal GHGSat operates its own satellite and aircraft sensors to collect emissions data, and uses these with third-party data to inform an analytics pipeline that:

• Detects and quantifies GHG emissions
• Identifies and classifies potential GHG emitters
• Generates valuable insights for our customers

We\'re looking for a Geospatial Data Engineer based in Montreal QC, who will play a key role in building and optimizing our geospatial data and AI/ML pipelines to support GHGSat’s mission of driving climate impact. This role involves integrating geospatial data from various sources, designing robust data systems, and contributing to analysis and insights generation.

Key Responsibilities

• Data Pipeline Development: Design, implement, and optimise scalable geospatial data and AI/ML pipelines. Integrate new data sources, including satellite and terrestrial, both public and proprietary. Re-engineer and validate existing pipelines, ensuring high-quality and performance standards.
• Geospatial Data Management: Blend and process various geospatial data sources to create artifacts for exploratory analysis and insights. Build scripts and automations for geospatial data processing, using tools like QGIS, GeoPandas, Rasterio, Xarray and rioxarray. Conduct geospatial analysis and contribute to mapping and visualization.
• Automation and Deployment: Contribute to the automation of testing, deployment, and monitoring of data pipelines and AI/ML models using Airflow, Docker, and AWS services.
• Collaboration and Innovation: Work collaboratively with the Analytics team, Subject Matter Experts, and cross-teams to prototype new data solutions. Explore applications of AI/ML for geospatial data and integrate emerging technologies where possible. Present findings and recommendations to both technical and non-technical stakeholders, fostering a data-driven culture. Communicate complex geospatial data insights in a clear, accessible manner to support informed outcomes.

Desired Attributes

• Impact-Driven Mindset: Passionate about contributing to environmental sustainability and climate impact.
• Self-motivated and collaborative worker: Able to work proactively and as part of a team, using initiative to uncover solutions to improve workflows and data processes.
• Continuous Learner: Continuously seeks out new geospatial technologies, trends, datasets, and tools to incorporate into projects.
• Effective Communicator: Able to convey technical information effectively to both technical and non-technical audiences, promoting a collaborative environment.

Qualifications

• 2-4 years of experience in data engineering, with specific expertise in geospatial data processing and analysis.
• Proficiency in Python and experience with libraries like Pandas, NumPy, SciPy, and scikit-image.
• Experience with geospatial libraries such as GeoPandas, Rasterio, Xarray, rioxarray, and QGIS.
• Familiarity with SQL and geospatial databases (e.g., PostgreSQL/PostGIS).
• Comfortable with cloud infrastructure (AWS preferred), containerization tools (Docker), and version control (Git).
• Knowledge of AI/ML concepts applied to geospatial data is a plus.
• Knowledge of frameworks like ClearML and STAC is beneficial.

Note

We understand that you may not have experience with every tool or technique listed here. If you have a strong foundation in geospatial data engineering and a willingness to learn, we encourage you to apply!

This is a rare opportunity to join a new analytics team in Canada. You’ll join a small but mighty team, have high impact, and help scale a company that’s doing meaningful work for the planet.

Benefits

• Competitive salary + stock options for all full-time employees
• Health/Dental benefits
• Paid Time Off + floating statutory holidays
• Flexible work environment

GHGSat offers a creative and highly motivating work environment. We offer competitive salaries, health and social benefits including flex-time and continuing development. We are committed to a diverse and inclusive workplace. GHGSat is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, age, or other legally protected status. If you would like to request an accommodation, please notify your recruiter.