Use Python, SQL and BI to turn complex data into real world applications in this 9-month initial contract. Your new company

Join a large, asset intensive enterprise in a hands on analytics and application development role supporting an established data and engineering capability.

Working alongside reliability engineers and data specialists, you'll help turn predictive model outputs and complex operational data into practical applications and dashboards. This is a great opportunity for someone with strong technical foundations who is keen to build their experience in industrial analytics, learn a specialised platform and work closely with experienced technical teams.

Your new role

As an Analytics & BI Engineer, you will:

Build applications and dashboards that turn complex data into useful insights for operational and business teams

Use Python and SQL to work with model outputs, operational and time-series data

Develop and enhance BI applications supporting asset health and maintenance decision-making

Work closely with reliability engineers and data scientists to understand requirements and translate analytical outputs into practical solutions

Integrate data from different enterprise systems and sources

Develop reusable components and contribute to broader application and data development

Learn and work with a specialised industrial analytics platform

Participate in an iterative development environment, incorporating feedback and peer review into your work

What you'll need to succeed

Strong Python skills and experience using SQL

Experience developing BI applications, dashboards or other data-driven applications An engineering, computer science, data or similarly technical background





Proven experience with data integration and working across multiple data sources

Strong problem-solving skills with the ability to turn data into practical, usable solutions A collaborative approach, with a willingness to learn, take on feedback and iterate on your work

Confidence working with both technical specialists and broader business stakeholders

Experience or understanding of engineering, asset management, maintenance or reliability environments would be highly regarded, but isn't essential

Exposure to C#/.NET or front-end technologies such as JavaScript and CSS would be advantageous

Familiarity with semantic data models or ontology concepts would also be beneficial

Experience with industrial data platforms, historians or data warehouses, such as AVEVA PI or Snowflake, would be advantageous

Exposure to low-code or Industrial IoT platforms, AI/ML or time-series data would also be beneficial

What you'll get in return

9-month initial contract with potential for extension

Hybrid working arrangements based in Brisbane

Opportunity to work across analytics, engineering and application development

Work alongside experienced data and engineering specialists

Exposure to predictive analytics and complex operational data

Chance to learn a specialised industrial analytics platform

Develop applications and dashboards that support real operational decision-making

Supportive, collaborative environment with opportunities to learn, develop and build your technical capability

What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion on your career. Please click here to apply.

📌 BI & Analytics Engineer (Brisbane)
🏢 Alana DeLisle
📍 Brisbane