Job description
Agency Department of Mining and Energy Work unit Northern Territory Geological Survey
Job title Senior Database Geoscientist Designation Professional 3
Job type Full time Duration Ongoing
Salary $114,199 - $127,898 Location Darwin
Position number 26267 RTF 349767 Closing 05/07/2026
Contact officer Jo Whelan on 08 8999 5375 or [email protected]
About the agency https://dme.nt.gov.au | https://resourcingtheterritory.nt.gov.au
Apply online https://jobs.nt.gov.au/Home/JobDetails?rtfId=349767
APPLICATIONS MUST INCLUDE A ONE-PAGE SUMMARY ABOUT YOU, A DETAILED RESUME AND COPIES OF YOUR
TERTIARY QUALIFICATIONS.
Information for applicants – inclusion and diversity
The NTPS values diversity. The NTPS encourages people from all diversity groups to apply for vacancies and accommodates
people with disability by making reasonable workplace adjustments. If you require an adjustment for the recruitment
process or job, please discuss this with the contact officer. For more information about applying for this position and the
merit process, go to the OCPE website.
Primary objective
Lead the management, digitisation and publication of current, historical exploration and NTGS geochemistry, drilling and
associated geoscience datasets, ensuring they remain accurate, accessible and trusted. Manage project resources while
upholding rigorous custodianship, standards and integrity of industry and precompetitive geoscience data within NTGS
databases and repositories
Key duties and responsibilities
1. Manage processes for importing, validating, maintaining and delivering industry and NTGS geoscience data across
Geobank and related systems.
2. Ensure integrity, accessibility and discoverability of exploration geochemistry, drilling and other key datasets.
3. Plan, deliver and monitor projects, reporting against business plans to achieve required outcomes.
4. Develop, implement and document standards, vocabularies, metadata and workflows to enhance data quality, efficiency
of access to data and ensure data readiness for AI and ML.
5. Monitor data‑management and interoperability trends to guide timely adoption of appropriate digital tools.
6. Contribute to spatial data model development and FAIR‑aligned improvements to data delivery.
7. Generate reports that support geoscience projects and inform senior management.
8. Provide expert advice on data holdings, systems, and dissemination, including contributions high-level correspondence.
9. Lead digitalisation of legacy industry geoscience data, including project planning, procurement and contract management,
performance monitoring, and reporting aligned with strategic goals.
10.Build staff capability by guiding, mentoring and training NTGS personnel in the use of data systems and best‑practice
workflows (particularly Geobank).
Selection criteria
Essential
1. Tertiary qualification from a recognised institution in geoscience, data science or a related discipline.
2. Demonstrated experience with data management systems, relational databases and SQL, together with demonstrated
capability in developing standards, metadata and FAIR‑aligned workflows and associated documentation for managing
large and complex datasets.
3. Demonstrated experience in the resources exploration sector and strong knowledge of exploration data management
systems.
4. Demonstrated experience in the QA/QC of scientific data, preferably geoscientific data, with strong attention to detail
and experience integrating datasets in a GIS environment.
5. Applied knowledge of the use of coding languages (e.g., Python) and/or ETL tools (e.g., FME) for automating processes,
workflows and data analytics.
6. Demonstrated experience in project and/or contract management, including the ability to deliver outcomes within set
time frames, think logically and with highly developed problem-solving skills.
7. Demonstrated high‑level interpersonal, written and oral communication skills, with the ability to train and mentor staff.
Desirable
1. Formal training, qualifications or demonstrated experience in any of data management (e.g., DAMA), data modelling, FME,
Geobank, designing and building relational databases.
