Senior Geological Data Consultant in Australia Fair, Queensland at Jobgether

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Geological Data Consultant based in Australia.

This is a hands-on consulting role focused on improving the quality, reliability, and usability of geological and mining-related data across a diverse portfolio of projects. You will work directly with complex real-world datasets, ensuring they are structured, validated, and fit for technical reporting and decision-making. The role combines technical data expertise with consulting engagement, requiring close collaboration with both internal teams and external clients. You will play a key part in identifying data issues, improving workflows, and implementing practical solutions that enhance efficiency and consistency. Operating in a dynamic and flexible consulting environment, you will also leverage modern tools, including automation and AI-assisted approaches, to strengthen data processes. This position is ideal for a pragmatic, detail-oriented professional who thrives in problem-solving environments and enjoys working with imperfect but high-value datasets.

• Manage, validate, and maintain geological and geoscientific datasets across mining, exploration, and environmental projects.
• Administer and support relational databases, ensuring data integrity, accuracy, security, and optimal performance.
• Perform data QA/QC processes, including cleaning, validation, and preparation for reporting and downstream technical analysis.
• Integrate and assess public and government datasets (e.g., WAMEX and equivalent sources) for reconciliation and validation purposes.
• Support data migrations, system upgrades, and continuous improvement initiatives across data platforms and workflows.
• Identify, troubleshoot, and resolve data inconsistencies using structured and pragmatic problem-solving approaches.
• Collaborate with internal stakeholders and clients to clarify requirements, resolve data-related queries, and ensure timely delivery.
• Contribute to the improvement of data standards, processes, and automation opportunities to enhance efficiency and scalability.
• Ensure data outputs are reliable, well-documented, and suitable for technical interpretation and reporting needs.
• Apply sound judgement when working with incomplete or evolving datasets in fast-paced consulting environments.

• Experience working with geological or geoscientific data within mining, exploration, or environmental contexts.
• Strong proficiency in relational databases and SQL for data validation, querying, and troubleshooting.
• Hands-on experience with data management, QA/QC processes, and ensuring data quality in technical environments.
• Familiarity with geological data systems or platforms, with the ability to quickly adapt to new tools and technologies.
• Experience working with large, complex, or imperfect datasets and maintaining accuracy under ambiguity.
• Strong analytical and problem-solving skills with a practical, solution-oriented mindset.
• Excellent communication skills, with the ability to explain technical concepts to both technical and non-technical stakeholders.
• Strong organisational and self-management skills, with the ability to handle multiple priorities independently.
• GIS experience is highly desirable for spatial validation and geoscientific analysis.
• Exposure to environmental datasets or regulatory data systems is considered an advantage.
• Degree in geology, geoscience, data science, or a related technical field is preferred.

• Flexible working arrangements, including full-time, part-time, and hybrid work options.
• Exposure to a wide variety of mining, exploration, and environmental projects across different commodities and clients.
• Opportunity to work on complex, real-world datasets with meaningful technical and operational impact.
• Supportive, trust-based consulting environment with autonomy and responsibility.
• Professional development opportunities through diverse project exposure and continuous learning.
• Collaborative team culture that encourages knowledge sharing and practical problem-solving.
• Opportunity to work with modern data tools, automation techniques, and AI-assisted workflows.
• Strong focus on work-life flexibility and adaptable working arrangements.