At Visagio, you have the opportunity to be part of something bigger. Recognised as a Great Place to Work®, we pride ourselves on being a people platform - where you are what makes us Visagio. You’ll be supported by a global network of passionate and welcoming team members, ready to guide, teach, and grow with you.

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We’re hiring experienced professionals to join Visagio Australia full-time across three streams. You’ll work on real client challenges, helping organisations transform through a combination of state-of-the-art technology and management practices - ranging from diagnosis and strategic recommendation to practical, agile, and sustainable implementation.

For fresh graduates and professionals with up to two years' experience. We're looking for readiness to do real work, structured problem-solving, adaptability, ownership, and a clear trajectory of growth. One opening per stream.

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Choose your stream (you’ll select one in the application form)

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1) Management & Business

You'll join broad transformation and advisory engagements, contributing from early on while you grow into the consulting craft. Expect to own pieces of work, structure your own analysis, and present your thinking to the team and, increasingly, to clients.

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Typical responsibilities include:

• Delivering comprehensive business solutions by combining strategic overview with a concise and pragmatic approach

• Performing data analysis and gathering insights to support client recommendations

• Bringing an innovative, problem-solving approach to client challenges

• Contributing to a fast-growth company and helping Visagio continue to achieve the extraordinary

Preferred background/skills:

•  A recent graduate (up to two years' experience) in a Business or STEM-related field.

• Strong communicator who builds rapport and engages diverse stakeholders.

• Readiness to contribute, take ownership, and learn fast.

• Comfortable using technology and AI to create value (training provided).

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2) Data Science & AI

You'll contribute to data-focused projects across analytics, machine learning, GenAI, simulation and optimisation, and start helping clients make better decisions through strong data storytelling. You'll grow your technical depth while learning how analysis turns into client impact.

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Typical responsibilities include:

• Delivering business solutions with a strategic overview and a concise, data-driven approach

• Performing data analysis and generating insights for recommendations

• Developing and implementing advanced analytics models (ML, GenAI, simulation, optimisation and other data-driven solutions)

• Tackling data storytelling challenges with an innovative approach

Preferred background/skills:

• A recent graduate (up to two years' experience) in a STEM-related field.

• Working knowledge of (or strong interest in) Python, SQL and analytical/ML methods.

• Structured thinking, clear communication, and the ability to build rapport.

• Readiness to contribute and take ownership; curious and AI-literate.

3) Software Engineering

You'll help design, develop and deliver full-stack software solutions that meet client needs, contributing real code from early on while you grow across the engineering lifecycle. You'll work closely with the team and, increasingly, with designers, product managers and stakeholders.

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Typical responsibilities include:

• Building, testing and deploying features across the stack - including responsive front-end interfaces (Angular or React) - with support and code review.

• Helping develop and integrate APIs (RESTful or GraphQL) with front-end services.

• Contributing to database, cloud and technical design discussions and learning to weigh trade-offs.

• Building AI-enabled features and using AI coding assistants as part of how the work gets done.

• Writing clean, documented code and helping create operational and end-user documentation

Required/desired background:

• A recent graduate (up to two years' experience) in a STEM-related field.

• Programming foundations across the stack, ideally with exposure to TypeScript and a modern framework (Angular or React), a server-side technology (Node.js, Python or C#/.NET), SQL or NoSQL databases, and core web (HTML5, CSS3, modern JavaScript).

• Comfort with Git and an interest in modern build tooling; bonus points for any Docker, CI/CD or cloud exposure.

• Clear communicator who builds rapport; strong analytical thinking, a fast learner, and an AI-literate mindset.

• Readiness to contribute, take ownership, and grow technically.

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4) Low-Code & Automation

You'll lead the build of automations and low-code solutions that improve clients' operational efficiency, primarily on the Microsoft Power Platform (Power Apps, Power Automate) and comparable RPA / low-code tooling, owning delivery from process discovery through to a shipped, used tool. This stream also owns our data-engineering delivery, so building data pipelines and constructing data warehouses sits squarely here.

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Typical responsibilities include:

• Mapping client processes and spotting where automation or a low-code app removes friction.  Building, testing and iterating workflows and apps on the Power Platform (or comparable low-code / RPA tooling). 

• Building data pipelines and helping construct and maintain data warehouses, plus the reporting and data-management layers around them.

• Designing the logic (conditions, data flows, approvals) behind a reliable automation. 

• Working with stakeholders to make sure what you build actually fits how they work, and documenting it.

Required/desired background:

• A recent graduate (up to two years' experience) in a Business or STEM-related field with a clear technical lean.

• Hands-on exposure to low-code / no-code tools (Power Platform, UiPath or similar), or the obvious aptitude and curiosity to pick them up fast.

• Bonus points for data-engineering skills: building data pipelines, warehousing and reporting (SQL, ETL/ELT, dimensional modelling).

• A process-improvement mindset: you notice repetitive work and want to remove it.

• Clear communicator who builds rapport; proactive, organised, AI-literate.

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What we look for (common across streams)
Across all streams, we value people who combine:

• A recent graduate (up to two years' experience) in a Business or STEM-related field with a clear technical lean.

• Hands-on exposure to low-code / no-code tools (Power Platform, UiPath or similar), or the obvious aptitude and curiosity to pick them up fast.

• Bonus points for data-engineering skills: building data pipelines, warehousing and reporting (SQL, ETL/ELT, dimensional modelling).

• A process-improvement mindset: you notice repetitive work and want to remove it.

• Clear communicator who builds rapport; proactive, organised, AI-literate.