Data Engineer

Leaders; Brisbane; Presencial; AUD 120 000 - 170 000; Tempo integral

Resumo da oferta

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.

Qualificações

• 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.

Responsabilidades

• 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.

Conhecimentos

SQL

Python

Snowflake

Ferramentas

Power Platform

Power Apps

Power Automate

Copilot Studio

Streamlit

Descrição da oferta de emprego

About the Opportunity

We are seeking a Data Specialist / Data Scientist to help transform how maintenance strategy and asset management activities are delivered through data, automation and AI.

This role will work closely with engineering, maintenance and operational stakeholders to understand existing processes, identify opportunities for improvement, and develop practical, scalable solutions that reduce manual effort and improve decision-making.

We're looking for someone who enjoys solving real business problems, has strong technical capability, and can bridge the gap between data, technology and engineering teams.

Key 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.

About You

You are a hands-on problem solver with a passion for using data and technology to improve the way organisations work. You have experience delivering practical automation and analytics solutions and can confidently engage with stakeholders to understand their challenges and translate them into effective outcomes.

Essential Skills & Experience

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

Desirable Experience

• Experience within:
  • Maintenance
  • Asset Management
  • Mining
  • Resources
  • Energy
  • Utilities
  • Heavy Industry
• Exposure to:
  • Cortex
  • AI Agents
  • Generative AI solutions
  • Document processing and extraction technologies
• Experience working with operational or engineering data.

Peoplebankand Leaders ITare committed to creating a diverse and inclusive workplace where everyone belongs. We welcome applications from people of all backgrounds, identities, and experiences. If you need adjustments to the recruitment process due to your circumstances, please let us know—we’re here to support you.