Spatial Data Analyst

We are looking for a SPATIAL DATA ANALYST to join our team.

Your main tasks:

• Localization and alignment of point clouds collected by mobile mapping;
• Processing and analysis of panoramic images;
• Processing and optimization of trajectories;
• Production and processing of vector maps in various formats;
• Data processing and visualization using geoinformatics tools.

You have:

• An education in geoinformatics, geodesy, or a related field;
• Experience with geoinformatics tools (e.g., QGIS, PostGIS, CloudCompare, PDAL);
• Knowledge of data collection and processing from different devices;
• Ability to manage and analyze large datasets;
• Understanding of BIM (Building Information Modeling) and concepts like LOD, LOG, LOI.

Additionally beneficial:

• Scripting skills (e.g., Python, bash, PowerShell) for workflow automation;
• Experience in database management and optimization;
• Experience with Velodyne, Ouster, Hesai, or similar LiDARs and panoramic cameras;
• Experience in data acquisition with drones;
• Geodesist level 6 or 7 certification.

We offer:

• The opportunity to participate in innovative and exciting projects;
• Flexible working hours and the possibility to work remotely;
• Opportunities for professional development and training;
• A knowledgeable and supportive team.

If you are passionate about data processing, spatial analysis, and new technologies, we encourage you to apply! Please send your CV and cover letter by November 17, 2024, to: [email protected]

Location: Tallinn

Working hours: Full-time

Start date: As soon as possible

AS Teede Tehnokeskus is the largest road management knowledge center and mobile measurement provider in Estonia. Future roads are not just made of asphalt but also of high-quality data for both automated road builders and self-driving vehicles. In 2020, we launched a new mobile mapping business line aimed at developing and offering solutions based on modern mapping technologies – panoramic images, road surface orthophotos, LiDAR point clouds, and road space models – for smarter infrastructure management on an international level.