AI-Driven Data Engineer for Asset & Maintenance Ops

Leaders; Brisbane; On-site; AUD 120,000 - 170,000; Full time

Job summary

Leaders IT in Brisbane is seeking a Data Specialist / Data Scientist to transform maintenance strategy and asset management through data, automation and AI. You will work with engineering and operations to identify opportunities, automate workflows and develop practical data-driven tools.

The role focuses on practical automation, analytics solutions, and bridging data, technology and engineering teams to deliver measurable improvements.

Qualifications

• Strong experience with SQL, Python and Snowflake.
• Demonstrated experience automating manual business processes.
• Experience developing solutions using Power Platform tools (Power Apps, Power Automate, Copilot Studio, Streamlit).
• Strong stakeholder engagement and communication skills.
• Ability to understand and interpret engineering or operational processes.

Responsibilities

• Partner with engineering and business stakeholders to understand maintenance and operational processes.
• Identify opportunities to automate manual and repetitive workflows.
• Develop data-driven applications, dashboards and tools to improve business efficiency.
• Build and optimise data solutions using Snowflake, SQL and Python.
• Leverage AI and GenAI technologies to streamline processes and enhance decision-making.
• Design and implement solutions involving AI agents, document extraction and intelligent automation.
• Develop scalable, maintainable solutions that can be adopted across multiple asset management functions.
• Support continuous improvement initiatives through data analysis and process optimisation.
• Communicate technical concepts clearly to both technical and non-technical stakeholders.

Skills

SQL

Python

Snowflake

Tools

Power Platform

Power Apps

Power Automate

Copilot Studio

Streamlit

Job description

Leaders IT in Brisbane is seeking a Data Specialist / Data Scientist to transform maintenance strategy and asset management through data, automation and AI. You will work with engineering and operations to identify opportunities, automate workflows and develop practical data-driven tools.

The role focuses on practical automation, analytics solutions, and bridging data, technology and engineering teams to deliver measurable improvements.