In-Demand Data scientist Jobs in Shailer Park Qld

Data Scientist
RPMGlobal —Brisbane QLD
- Full-time
- Remote
- Azure
- Computer Science
- DevOps
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Data Scientist
RPMGlobal Holdings Limited —Brisbane QLD
- Full-time
- Remote
- Azure
- Computer Science
- DevOps
Data and AI Engineer
Alder Group —Brisbane QLD
- Full-time
- Bachelor's degree
- Construction experience
- AI
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12d
Head Of AI
aXcelerate —Brisbane QLD
- Full-time
- Hybrid work
- Management
- Office
- Machine learning
- Employee assistance program
- Opportunities for advancement
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Data and AI Engineer
Alder Group —Helensvale QLD
Experience with enterprise data platforms, modern data architectures or data warehousing. Champion data quality, governance and emerging technology…
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12d
Sleep Study Scorer
Air Liquide —Ormeau QLD
Preparing and proof-reading draft sleep study reports for Air Liquide Healthcare’s Sleep Physicians, including diagnoses of sleep-disorders, description of…

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data scientist jobs near shailer park qld

Data Scientist

RPMGlobal -
Brisbane QLD

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Job Details

Full-time

Qualifications

CI/CD
Azure
Law
Computer Science
DevOps
Microsoft SQL Server
Master's degree
Application development
SQL
OS Kernels
Bachelor's degree
Communication skills

Full Job Description

About the Role

RPMGlobal (RPM) is seeking a highly skilled and experienced Data Scientist to join our team working on advanced analytics and data-driven products within a modern Azure-based platform.

This is a permanent full-time role based in our Brisbane CBD headquarters. This position is in-office; however, it allows for ad hoc working from home.

This role is ideal for someone who enjoys working across both data science and data engineering disciplines — designing scalable data pipelines, optimising SQL-based systems, and building intelligent solutions leveraging large language models.

Key Responsibilities

Design, develop, and optimise ETL pipelines using Microsoft SQL Server
Implement and maintain incremental data processing using Change Tracking / CDC
Build and maintain CI/CD pipelines using Azure DevOps
Develop and deploy data science solutions, including LLM-based features
Work with Azure cloud services to build scalable, production-grade solutions
Collaborate with product and engineering teams to deliver data-driven features
Troubleshoot and performance tune complex SQL workloads

About you

Bachelor’s degree in Data Science, Computer Science, or a related field
Strong expertise in Microsoft SQL Server, including:
- ETL development
- Query performance tuning
- Change Data Capture (CDC) and Change Tracking
Experience with Azure DevOps, including CI/CD pipeline implementation
Hands-on experience with large language models and tools such as Semantic Kernel
Strong experience working with the Azure cloud platform
Proven track record in developing commercial engineering or technical applications
Strong communication skills and a collaborative mindset
Strong command of the English language in both verbal and written form
Must have the legal right to work in Australia

Highly Regarded Experience

Experience in data engineering or building data platforms
Experience with Databricks, Azure OneLake, or similar lakehouse technologies
Exposure to distributed data processing frameworks (e.g. Spark)
Experience in the mining or resources industry

About RPM

RPMGlobal is the mining industry’s leading enterprise technology and training provider and has been at the forefront of change and innovation in the mining industry for over 50 years.

We advance the mining industry towards a safer, more efficient, and more sustainable future through the delivery of innovative software solutions and deep domain mining expertise. Guided by our underlying principles of mining expertise, innovation, and sustainability, we strive to create safer and more efficient operations for our mining customers.

Our focus on providing advanced mining enterprise technology and training across the mining lifecycle enables us to guide customers through the industry's current and emerging challenges worldwide. This includes helping them meet the shift in social norms and consumer and investor ESG-related expectations.

Please, no agencies or recruiters.

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