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Salary
$40k – $49k per year
Location
Hybrid (Mississauga, Canada)
Seniority
Junior · 1+ year exp
Visa
Sponsors visas in United States, United Kingdom; no register of this country names it
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 14, 2026. First seen by Alion on Nov 13, 2026. Fugro scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Headquartered in Leidschendam, Netherlands, Fugro is a global Geo-data company specializing in site characterization and asset integrity solutions for both land and marine environments. Utilizing advanced survey vessels, subsea robotics, and remote sensing technology, the firm collects and analyzes critical geological, geophysical, and geotechnical data. By supporting offshore wind farms, major infrastructure projects, and energy developments worldwide, the organization enables clients to design, build, and operate assets safely and sustainably.

Job Description

The LiDAR & Vector Geospatial Analyst processes, reviews, refines, and performs quality control on LiDAR point-cloud and vector GIS data to support accurate mapping and geospatial deliverables. The role evaluates automated classifications, corrects point and vector features where required, maintains data integrity, and completes assigned work in accordance with project specifications and established production procedures.

The analyst also supports the operational adoption of GeoAI-enabled tools and automated workflows. This includes testing and validating GeoAI outputs, documenting limitations and recurring issues, and providing production feedback that helps improve automated classification, feature extraction, noise detection, macro-driven editing, and quality-control processes. The role maintains appropriate human review and accountability for AI-assisted outputs.

Base Salary range of $57K to $70K CAD Annual

This job posting is for an existing opening in our Mississauga office.

Job Responsibilities

  • Lead by example and place Quality, Health & Safety, Security, and the protection of the Environment as core values while never intentionally placing employees, our processes, customers, or the communities in which we live and work at risk.
  • Review automatically classified LiDAR point cloud data and manually reclassify points where needed. Identify misclassified points (for example, ground points flagged as vegetation or vice versa, and noise points that were not removed) and correct their classifications using LiDAR processing software (such as MicroStation with TerraSolid or LP360).
  • Ensure the point cloud meets specification - with ground, vegetation, building, and other classes properly distinguished - to support the creation of accurate terrain models and analyses.
  • Assist in the creation and maintenance of vector GIS layers derived from LiDAR and imagery data, with an emphasis on hydrographic features. Use ArcGIS Pro to digitize, edit, and QC features like rivers, streams, lakes, and watershed boundaries.
  • Ensure that hydrographic breaklines and watershed polygons are accurately drawn and properly integrated with elevation data (e.g., LiDAR-derived terrain models) so that final topographic maps and flood models are correct. Perform topology checks and attribute updates on these vector datasets to uphold data integrity and consistency.
  • Carry out routine QA/QC checks on both LiDAR and vector data. This includes validating that LiDAR point classifications conform to project standards (e.g., no unclassified or incorrectly classified points in deliverables) and that all required vector features are present and correctly delineated. Flag anomalies such as classification errors or misalignments between vector features and point cloud data. Work with senior team members to resolve issues - for instance, applying additional automated classification routines or manual corrections - and verify that updates have improved the data quality.
  • Follow established processing workflows and project guidelines to complete tasks efficiently and consistently. Maintain organized records of changes made to datasets (e.g., keeping logs of classification adjustments or vector edits).
  • Communicate progress and any issues encountered to the project lead or supervisor in a timely manner, seeking guidance when faced with complex problems. Contribute to team meetings or debriefs by providing insights from your QA findings - for example, highlighting common areas where automatic classification struggled - to help improve overall process efficiency or training needs.
  • Other duties as assigned.

Job Requirements

  • Legally authorized to work in Canada without restrictions.
  • A high school diploma or equivalent required.
  • Associate or Bachelor’s degree in Geomatics, Geographic Information Systems (GIS), Geography, Remote Sensing, or a related field preferred.
  • Relevant coursework or project experience in LiDAR data processing or GIS data editing is highly desirable.
  • Foundational understanding of LiDAR technology and point cloud data structure (e.g., LAS format, elevation models) and basic familiarity with industry classification standards (such as ASPRS classes for ground, vegetation, buildings, etc.).
  • Have 1 or more year of Hands-on experience with LiDAR processing software such as TerraSolid.
  • (TerraScan/TerraModeler on MicroStation), LP360, or Global Mapper is required.
  • Demonstrated ability to use Esri ArcGIS Pro for vector editing and analysis is essential (including skills in creating/editing features, applying topology rules, and performing spatial QC).
  • Excellent observational skills to catch small errors in large geospatial datasets. Proven ability to carefully review point clouds and GIS layers to identify misclassifications, missing features, or inconsistencies. Quality-oriented mindset with a commitment to delivering data that meets established accuracy standards and project requirements.
  • Basic analytical and problem-solving abilities to investigate data issues (for example, determining why a group of points was misclassified or diagnosing a topology error in a vector layer) and apply appropriate fixes. Should be comfortable learning and adopting new tools or techniques as needed - for instance, tweaking classification parameters or using ArcGIS extensions - in order to improve results.

This is an active, legitimate vacancy that is essential to our ongoing operations. FUGRO Canada confirms its intention to hire a qualified candidate for this role as soon as possible.

What’s in it for you?

At Fugro, our people are truly our number one priority and are central to our purpose to create a safe and livable world. Our values set the foundation for our unique culture: we are determined to deliver, we prepare for tomorrow, we do what’s right, and we build trust. Our talent philosophy is seeded by our values and fueled by a passion for learning, developing leadership behaviors, transparency, and accountability.

Fugro offers opportunities to sharpen skills and provide career growth through on-the-job learning experiences, LinkedIn Learning access, business and technical training, and leadership development programs.

Disclaimer for recruitment agencies:

Fugro does not accept any unsolicited applications from recruitment agencies. Acquisition to Fugro Recruitment or any Fugro employee is not appreciated .

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