Technologue en géomatique

Job Description

Overview

As part of the National GIS Group, you will contribute to the ALTO project’s LiDAR and drone imagery activities. Working with GIS, engineering, design, and environmental teams, you will integrate processed LiDAR data, point clouds, and imagery products into the ArcGIS environment to create, manage, and publish 2D and 3D content. This position does not involve primary processing of raw LiDAR data or photogrammetric production.

Your role

• Integrate LAS/LAZ files, classified point clouds, orthomosaics, digital elevation models, and other processed LiDAR or imagery products into ArcGIS Pro.
• Create, configure, and maintain LAS datasets, mosaic datasets, elevation layers, and local or global scenes.
• Prepare and publish scene layers, elevation services, imagery services, and other 3D content in ArcGIS Enterprise or ArcGIS Online.
• Optimize data for visualization and use in maps, web scenes, and ArcGIS applications, including through appropriate pyramids, indexes, and levels of detail.
• Perform the required technical checks on projection, extent, resolution, classification, coverage, units, and consistency of received products before integration.
• Produce visualizations and derived products suited to project needs, such as profiles, hillshades, slopes, contours, and elevation surfaces.
• Organize source data and published products in accordance with the project’s naming, metadata, structure, and governance standards.
• Troubleshoot display, performance, spatial reference, or publishing issues and work with ArcGIS administrators to resolve them.
• Document integration methods, publishing settings, completed checks, and data-use limitations.

About you

• A college diploma or bachelor’s degree in GIS, Remote Sensing, Geography, or a related discipline.
• A minimum of four years of relevant experience is required, including at least two years of hands-on experience integrating LiDAR data, point clouds, or drone imagery within a GIS environment.
• Experience with ArcGIS Enterprise or ArcGIS Online to prepare, share, and publish scene layers, imagery services, elevation services, or 3D web content.
• Experience optimizing 3D and raster data for efficient visualization and delivery in ArcGIS applications.
• Knowledge of Python, ModelBuilder, or FME for automating integration and validation tasks is considered an asset.
• Good understanding of LAS/LAZ formats, classified point clouds, orthomosaics, digital terrain and surface models, and coordinate systems.
• Strong proficiency in ArcGIS Pro, including LAS datasets, mosaic datasets, elevation layers, 3D scenes, and raster and 3D analysis tools.
• Excellent technical skills in structuring, integrating, validating, and delivering 2D and 3D geospatial data.
• Ability to assess the quality and fitness for use of processed LiDAR and imagery products without performing primary processing of raw data.
• Ability to collaborate with data providers and multidisciplinary teams to clarify requirements and resolve technical issues.
• Ability to troubleshoot technical issues and collaborate with GIS, design, environmental, engineering, and systems administration teams.
• Thoroughness and attention to detail in data configuration, quality control, and service publishing.
• Self-reliance, strong organizational skills, and the ability to manage multiple requests in a multidisciplinary project environment.
• Communication skills to document methods, explain data constraints, and recommend practical solutions.
• Proficiency in French or English; French-English bilingualism is a significant asset because of collaboration with teams in Quebec and elsewhere in Canada.

Rewards & benefits

Explore the rewards and benefits that help you thrive - at every stage of your life and your career at AtkinsRéalis in Canada.

Enjoy competitive compensation, employee recognition, and a brilliant range of flexible benefits you can tailor to your health, wellbeing, financial and lifestyle needs.

Make the most of diverse opportunities for training and professional development to grow your skills and expertise.

And take advantage of our hybrid working culture and generous time-off policies to balance a fulfilling career with your personal life.

Be rewarded. Find out more.

About AtkinsRéalis

We're AtkinsRéalis, a world-class engineering services and nuclear organization. We connect people, data and technology to transform the world's infrastructure and energy systems. Together, with our industry partners and clients, and our global team of consultants, designers, engineers and project managers, we can change the world. We're committed to leading our clients across our various end markets to engineer a better future for our planet and its people.

Find out more.

Additional information

AtkinsRéalis cares about your privacy. AtkinsRéalis and other subsidiary or affiliated companies of AtkinsRéalis (referred to throughout as “AtkinsRéalis”) are committed to protecting your privacy. Please consult our Privacy Notice on our Careers site to know more about how we collect, use, and transfer your Personal Data.

By submitting your personal information to AtkinsRéalis, you confirm that you have read and accept our Privacy Notice.

Appropriate accommodation will be provided upon request throughout the recruitment and hiring process as required by Company policy and the Accessibility for Ontarians with Disabilities Act (AODA).

Successful applicants will be notified about AtkinsRéalis’ accommodation policies at the time the employment offer is extended, and the information will be shared with new personnel during the onboarding process.

Expected compensation for this role is (between Pay Range $55 000 - $78 0000 annually). Base salaries are determined according to several parameters like skills, experience, and potential impact on the role. Internal and external competitiveness are also taken into account in our offers.

Worker Type

Job Type

At AtkinsRéalis, we seek to hire individuals with diverse characteristics, backgrounds and perspectives. We strongly believe that world-class talent makes no distinctions based on gender, ethnic or national origin, sexual identity and orientation, age, religion or disability, but enriches itself through these differences.