Geospatial Data Engineer

GHGSAT; Montreal (administrative region); On-site; CAD 70,000 - 90,000; Full time

Job summary

A climate technology company is seeking a Geospatial Data Engineer based in Montreal. In this role, you'll design and optimize geospatial data pipelines and integrate data from varied sources. The ideal candidate has 2-4 years of experience in data engineering, strong skills in SQL and Python, and familiarity with geospatial tools like QGIS. This full-time role offers competitive salary, health benefits, paid time off, and a flexible work environment.

Benefits

Competitive salary + stock options

Health/Dental benefits

Paid Time Off

Flexible work environment

Qualifications

• 2-4 years of experience in data engineering, with expertise in geospatial data processing.
• Proficiency in SQL and geospatial databases.
• Comfortable with AWS and Docker.

Responsibilities

• Design, implement, and optimize scalable geospatial data and AI/ML pipelines.
• Integrate new data sources, including satellite and terrestrial.
• Conduct geospatial analysis and contribute to mapping and visualization.

Skills

SQL

Python

Geospatial analysis

Data engineering

Effective communication

Education

Experience in geospatial data processing

Tools

PostgresSQL/PostGIS

Airflow

DBT

Docker

GeoPandas

Rasterio

QGIS

Job description

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

• Detects and quantifies GHG emissions

• Identifiesand classifies potential GHG emitters

• Generates valuable insights for our customers

We'relooking foraGeospatial Data Engineerbased inMontreal, Canada, who will play a key role in building and optimising our geospatial dataand AI/MLpipelines to supportGHGSat’smission of driving climate impact. This role involves integrating geospatial data from various sources, designing robust data systems, and contributing to analysis and insights generation.

Data Pipeline Development

• Design, implement, and optimise scalable geospatial dataand AI/MLpipelines.

• Integrate new data sources, including satellite and terrestrial, both public and proprietary.

• Re-engineer andvalidateexisting 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 likeQGIS,GeoPandas,Rasterio,Xarrayandrioxarray.

• Conduct geospatial analysis and contribute to mapping and visualization.

• Data testing and quality controlofgeospatialdatasets.

Automation and Deployment

• Contribute to the automation of testing, deployment, and monitoring of datapipelines and AI/ML modelsusingDBT,Airflow, Docker,andAWSservices.

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 informedoutcomes.

Desired Attributes

• Impact-Driven Mindset: Passionate about contributing to environmental sustainability and climate impact.

• Self-motivatedand collaborativeworker:Able to workproactivelyand as part of a team,using initiative touncoversolutionsto 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 acollaborativeenvironment.

Qualifications

• 2-4yearsof experience in data engineering, with specificexpertisein geospatial data processing and analysis.

• ProficiencyinSQLand geospatial databases e.g.,PostgresSQL/PostGIS

• Experience withAirflow,DBT, and dashboarding tools such asGrafana

• ProficiencyinPythonand experience with libraries likePandas,pytest,NumPy,sqlalchemy.

• Comfortable withcloud infrastructure(AWSpreferred), containerization tools (Docker), and version control (Git).

• Experience with geospatialpackagessuch asGeoPandas,Rasterio,andQGISis beneficial.

• Knowledge ofAI/MLconcepts applied to geospatial data is a plus.

• KnowledgeofClearMLis beneficial.

• Competitive salary + stock options for all full-time employees

• Health/Dental benefits

• Paid Time Off + floating statutory holidays

• Flexible work environment

Weunderstand that you may not have experience with every tool ortechniquelisted here. If you havea strong foundationin geospatial data engineering and a willingness to learn, we encourage you to apply!

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.