Data Technician & Technical Support Specialist

VRIFY is at the forefront of transforming the mining industry through AI-driven mineral exploration and immersive data visualization. Our platform combines advanced geological modeling, AI drill targeting, and rich 3D/360° presentations to help mining companies make better decisions—and communicate those decisions clearly to investors.

We don’t just process data. We turn complexity into clarity.

About the Role

This is a hybrid, hands-on role combining geospatial data operations with technical product support. You will work directly with mining data while also acting as a key technical escalation point for customer issues in your region (Australia).

On any given week, you might:

• Convert and validate geospatial mining datasets


• Investigate production logs to understand why a customer workflow broke


• Apply a quick fix or workaround


• Partner with Product and Engineering to resolve root causes permanently
  

This role is ideal for someone who enjoys digging into data, tracing issues end-to-end, and making systems work better for real users.

Core Responsibilities

Data Technician Responsibilities

• Convert, integrate, and standardize geospatial mining data from diverse sources and formats into VRIFY’s GIS environment.


• Import and export client data using defined, process-specific workflows.


• Validate data accuracy, consistency, and spatial integrity throughout the conversion process.


• Analyze client datasets and apply critical thinking to deliver high-quality outputs tailored to client needs.


• Create clear, visually compelling 2D maps (e.g., mine boundaries, infrastructure, proximity analysis) to support 3D models and presentations.


• Collaborate with peers to improve data workflows, tooling, and documentation.


• Deliver high-quality outputs on time, without hand-holding.
  
  

Technical Support Responsibilities (Tier 2 / Technical Escalation)

• Serve as a technical point of contact for customer issues related to data ingestion, platform behavior, and system workflows.


• Investigate application and system logs to identify where and why issues are occurring.


• Triage problems effectively: distinguish between data issues, configuration errors, platform limitations, and software defects.


• Apply quick fixes or workarounds when possible to unblock customers.


• Clearly document issues, findings, and reproduction steps when escalating to the Engineering team.


• Collaborate closely with developers to validate fixes and confirm resolutions.


• Provide clear, technically accurate explanations to customers - no hand-waving, no jargon dumps.


• Help improve internal runbooks, troubleshooting guides, and support processes over time.
  
  

Education & Experience

• Bachelor’s degree or diploma in Computer Science, Geography, Geology, GIS, Environmental Science, or a related field with a strong GIS focus.


• Less than 2 years of experience in GIS, data management, technical support, or a related technical role.


• Familiarity with customer-facing technical environments is a strong asset.


• Knowledge of geology and/or the mining industry is a plus, not a prerequisite.
  
  

Core Technical Skills

GIS & Data

• Working knowledge of GIS fundamentals, including coordinate systems and spatial data concepts.


• Hands-on experience with GIS tools such as ArcGIS or QGIS.


• Experience converting geospatial data formats (e.g., CSV, shapefiles, GeoTIFF, KML/KMZ).


• Ability to georeference raster and vector datasets.


• Experience digitizing point, line, and polygon features.


• Basic cartography skills (legends, labels, north arrows, clean layouts).


• Basic programming skills, preferably Python, including modifying scripts for automation and efficiency.


• Familiarity with databases and basic SQL is an asset.
  
  

Technical Troubleshooting

• Basic knowledge of AWS or comparable clouds.


• Ability to read and interpret system and application logs.


• Comfort tracing issues across data, configuration, and application layers.


• Strong analytical mindset for root-cause analysis.


• Ability to communicate technical findings clearly to both engineers and non-technical users.
  
  

Professional Competencies

• Problem-solving: You enjoy figuring out why something broke—not just restarting it.


• Attention to detail: Data accuracy matters, and you notice when something is off.


• Communication: Clear, calm, and precise—especially when explaining technical issues.


• Time management: You can juggle support requests and project work without chaos.


• Adaptability: Comfortable learning new tools, workflows, and domain knowledge.
  
  

What We Offer

• Remote, flexible work environment


• Competitive salary: 90,000 to 95,000


• Exposure to real-world AI, geospatial data, and customer-facing problem solving


• A role with room to grow into data engineering, platform support, or operations

Terms of Employment

• Location: Perth (must be legally eligible to work in Australia)


• Type: Permanent

This job description has been written to provide an accurate reflection of the current job and to include the general nature of work performed. It is not designed to contain a comprehensive detailed inventory of all duties, responsibilities, and qualifications required of the employees assigned to the job. Management reserves the right to revise the job or require that other or different tasks be performed when circumstances change. 

VRIFY is an equal opportunity workplace, and we would like to hear from all qualified applicants. If you have a disability or any special needs that we might need to accommodate, please let us know.