Data Engineer

Location: Brisbane, QLD (2 days WFH per week)

Engagement: Permanent opportunity

Rate: upto $145,000 to $155,000 + super package ($173.600 inc super p.a)

Talent is currently seeking a Data Engineer to join a leading mining technology organisation.

This is an exciting opportunity for a Data Engineer who enjoys building scalable data solutions, working with modern cloud technologies and turning complex datasets into meaningful business insights.

Key Responsibilities

• Design and implement new data models, metrics and analytics solutions
• Develop, optimise and maintain scalable data pipelines
• Support the design of cloud-based data warehouses and analytics platforms
• Gather and prepare data from multiple sources, ensuring quality, consistency and reliability
• Analyse large datasets to identify trends, patterns and anomalies
• Develop predictive models to support equipment maintenance and operational efficiency
• Create dashboards, visualisations and reports for technical and business stakeholders
• Work with engineers, mining specialists and technology partners to improve equipment performance
• Contribute to DevOps processes, deployment practices and environment setup
• Support the development of automated decision-support tools

About You

You will ideally have

• At least 2-3 years of experience in a Data Engineering position
• Advanced SQL skills
• Experience designing and building high-performance data pipelines
• Strong knowledge of modern data warehousing platforms such as Snowflake
• Experience working in a cloud environment, ideally AWS
• Hands-on experience with data modelling, ETL or ELT processes
• Programming experience with Python, Java, Scala, R or similar technologies
• Strong data cleansing, preparation and analysis capabilities
• The ability to communicate technical findings clearly to business stakeholders

Experience with any of the following will be highly regarded:

• Snowflake
• Apache Airflow
• AWS services including S3 and EC2
• DevOps and CI/CD practices
• Machine learning and statistical modelling
• Power BI, Tableau or Looker
• Predictive analytics
• Mining, engineering, heavy equipment or industrial technology environments

If this opportunity sounds like the right fit for you, please apply now or contact Anika Starkey Sign in to view email or Mats Rorvik- [email protected]