Analyst, Data Engineering
Newmont Australia · Subiaco, Western Australia, Australia
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- On site
- Full-time
- $120,000 / year
- Subiaco, Western Australia, Australia
Job highlights
- Design, build, and deploy scalable data and AI solutions.
- Work with complex datasets for enterprise use cases.
- Utilize cloud platforms like Databricks, Azure, or AWS.
- Collaborate with cross-functional teams to solve business problems.
- Optimize data processes for performance and reliability.
About the role
About Newmont
Newmont is the world’s leading gold company, producing gold as well as copper, silver, zinc, lead and molybdenum across operations in Australia, Papua New Guinea, Africa, Latin America and North America. In Australia, Newmont operates across Western Australia, the Northern Territory and New South Wales, supported by teams in Perth, Brisbane and Melbourne.
At Newmont, people create the value in the metals we mine and are ambassadors in the communities where they live and work. As a team, we foster an environment in support of our people vision, where everyone belongs, thrives and is valued. We have built a diverse and inclusive workplace where our people can bring their differences to support delivering results together.
Join us and unearth your potential in a global company that is at the forefront of shaping the future of the mining industry.
Your impact
Reporting to the Data Architecture Lead, you will support the development and evolution of Newmont’s enterprise data platform by designing and delivering scalable data and AI solutions. You will work with large, complex datasets to build and deploy modern data pipelines, machine learning and AI-enabled solutions that solve real business problems. This role sits at the intersection of data engineering, data science and platform delivery, partnering closely with architecture, engineering and business teams to deliver secure, scalable and repeatable solutions.
As part of our team you will
- Design, build and deploy data pipelines and AI/ML-enabled solutions using cloud-based platforms
- Work with large structured and unstructured datasets to support enterprise data use cases
- Translate solution design into executable technical delivery in an agile environment
- Contribute to the standardisation of architecture and deployment patterns
- Support the development of scalable, secure and repeatable data solutions
- Apply and embed data governance, data quality and ethical AI practices
- Collaborate with AI/ML, Digital Enablement and operational teams to solve business problems
- Support end-to-end data workflows including ingestion, transformation and consumption
- Optimise data processes and models for performance, scalability and reliability
- Contribute to continuous improvement of the enterprise data platform and data capabilities
Prerequisites for your success in the role
- Degree in Data Science, Computer Science, Engineering, Mathematics or related field
- Strong SQL capability (essential), including experience working with large datasets
- Experience with Python for data engineering or machine learning use cases
- Experience working with cloud-based data platforms (e.g. Databricks, Azure, AWS or similar)
- Understanding of data governance, data quality and data management practices
- Ability to translate business requirements into clear technical solutions
- Experience working with enterprise-scale data or complex data environments
Well Regarded
- Experience with Databricks or similar lakehouse platforms
- Experience with large-scale data processing (e.g. Spark)
- Exposure to machine learning frameworks (e.g. TensorFlow, PyTorch)
- Experience with APIs and system integration in enterprise environments
- Experience with GenAI, LLMs, or modern AI solution design (e.g. RAG, vector databases)
- Experience in mining, resources, or heavy industry environments
- Understanding of operational data and value chains
Your work environment
This role is ideally based in Perth, however flexible work arrangements, including remote options, will be considered in line with business and operational requirements.
You will work closely with a highly capable technical team across architecture, engineering and data functions, supporting stakeholders across operations and digital teams. Occasional travel may be required to engage with stakeholders or support specific initiatives.
Key skills/competency
- Data Engineering
- SQL
- Python
- Cloud Platforms
- Databricks
- Azure
- AWS
- Machine Learning
- Data Governance
- Data Pipelines
Skills & topics
- Data Engineering
- Data Analyst
- SQL
- Python
- Cloud Data Platforms
- Databricks
- Azure
- AWS
- Machine Learning
- Data Pipelines
- Data Governance
- AI Solutions
- Big Data
- Perth Jobs
- Mining Industry
How to get hired
- Tailor your resume: Highlight your SQL, Python, and cloud data platform experience.
- Showcase relevant projects: Detail your work with large datasets and AI/ML solutions.
- Emphasize agile experience: Mention your ability to translate designs into technical delivery.
- Research Newmont's values: Align your application with their focus on people and innovation.
- Prepare for technical questions: Be ready to discuss data governance and pipeline design.
Technical preparation
Behavioral questions
Frequently asked questions
- What are the key technical skills required for the Data Engineering Analyst role at Newmont Australia?
- The Data Engineering Analyst role at Newmont Australia requires strong SQL capabilities, experience with Python for data engineering or machine learning, and proficiency with cloud-based data platforms like Databricks, Azure, or AWS. An understanding of data governance and data management practices is also essential.
- What experience is considered a plus for this position at Newmont?
- For the Data Engineering Analyst position at Newmont, experience with Databricks or similar lakehouse platforms, large-scale data processing using Spark, machine learning frameworks, and GenAI or LLMs is highly regarded. Experience in the mining or heavy industry sectors is also a plus.
- Does Newmont Australia offer flexible work arrangements for the Data Engineering Analyst role?
- Yes, Newmont Australia offers flexible work arrangements for the Data Engineering Analyst role, including remote options, which will be considered based on business and operational requirements. The role is ideally based in Perth.
- What is the application deadline for the Data Engineering Analyst position at Newmont?
- Applications for the Data Engineering Analyst position at Newmont close on Sunday, May 10, 2026. It is recommended to apply well before this date.
- What kind of projects will a Data Engineering Analyst work on at Newmont?
- A Data Engineering Analyst at Newmont will design, build, and deploy data pipelines and AI/ML-enabled solutions, work with large datasets for enterprise use cases, and optimize data processes for performance and scalability. They will also contribute to the development of Newmont's enterprise data platform.
- How can I demonstrate my suitability for the Data Engineering Analyst role during the application process?
- To demonstrate your suitability for the Data Engineering Analyst role, highlight your strong SQL and Python skills, experience with cloud data platforms, and any involvement in building data pipelines or AI/ML solutions. Showcasing your ability to translate business requirements into technical solutions is also key.