AI & Data Engineer

AI & Data Engineer

• Build AI-native, data-driven and cloud-powered products that clients run every day
• Use AI-first engineering practices to design, build, test and operate solutions faster, safer and at greater scale
• Grow your engineering capability with support from a coach, buddy and engineering community 

We are seeking an Engineer to join our AI & Data practice. Based in Sydney or Melbourne, this role sits on our Engineering pathway, a career pathway designed for engineers who want to grow through technical excellence. You'll work alongside experienced engineers to design, build and deploy AI, data and agentic solutions, supported by experienced engineers as you build both your technical and consulting capabilities. 

We welcome applications from people of all backgrounds and experiences and recognise that careers don't always follow a straight path. If you meet most of the points below, we'd like to hear from you. 

About the team

Our AI & Data team comprises more than 500 specialist practitioners across Australia, each of whom are constantly curious and excited about combining their business acumen and technological expertise to create AI and data-centric solutions that help solve complex problems and transform or reinvent our clients’ business.

Our AI & Data team work with public and private sector clients, helping them design and implement world-leading solutions and capabilities. From solving air and ground transport network issues through our industry-first Optimal Reality digital twin solution, to bringing automation capabilities to vaccine rollout programs and helping our clients move to a sustainable world, we are the partner of choice for our clients and our alliance vendors.

Our technology relationships with market-leading vendors such as Amazon, Microsoft, Google, Databricks, Snowflake and Informatica enable our practitioners to be at the forefront of new and emerging capabilities and to deliver our suite of services at scale. We are consistently recognised as leaders in Cloud, Data, Analytics and AI, including in the latest analyst reports.

What will your typical day look like? 

You'll be hands-on in the codebase, building and testing solutions alongside more experienced engineers. 

• Designing & Delivering AI & Data Solutions – Design and build AI-enabled applications, agentic workflows, analytics products and data platforms that are secure, scalable and production-ready. 

• Client Collaboration – Work with client stakeholders and delivery teams to understand requirements and contribute to effective technical solutions. 

• Technical Problem-Solving – Write, test and review well-crafted code in Python, SQL or a similar language, using leading technologies across Azure, AWS, Google, Databricks and Snowflake. 

• Supporting Agile Project Delivery – Apply AI-first delivery methods to accelerate software development lifecycle activities including requirements analysis, solution design, coding, testing and documentation. 

• Learning & Development – Continuously develop your engineering capabilities across AI, software, cloud and data disciplines, with access to leading training and development programs. 

• Asset Development – Build on the accelerators and patterns we already have, contributing reusable components and improving them with each engagement rather than starting from scratch. 

Enough about us, let's talk about you. 

You may have all or some of the following skills and experiences: 

• 2-4 years' experience in software, data or AI engineering. 

• Working knowledge of a programming language such as Python, Java or TypeSrcipt, plus SQL, and a passion for building well-crafted solutions. 

• Experience developing AI, data or software solutions using modern platforms such as Azure, AWS, Google Cloud, Databricks or Snowflake. 

• Curiosity about emerging AI models, tools and engineering practices, and the initiative to apply them. 

• Ability to explain technical work clearly to non-technical people. 

• Understanding of engineering fundamentals including version control, testing, CI/CD, secure development and responsible AI practices. 

Nice to have: 

• An interest in making the value of AI and data visible to clients, through visualisation, working demos or products people actually use. 

• A degree in Mathematics, Statistics, Engineering, Computer Science or a related field. 

Applicants must hold working rights in Australia to apply. 

Why Deloitte?

At Deloitte, we focus our energy on interesting and impactful work. We're always learning, innovating and setting the standard; making a positive difference to our clients and our society. We put coaching at the heart of what we do, helping our people grow their careers in any direction - whether it be up, moving into something new, or even moving across the world.

We embrace diversity, equity and inclusion. We have a diverse collection of people from different backgrounds, with different experiences, gender identities, abilities and thinking styles. What binds us together is a shared commitment to value everyone's perspective and to cultivate inclusion; so that our work environment is a safe space we can all belong.

We value in-person connection with our clients and our colleagues. We offer several ways for you to work flexibly so that you can serve your clients, stay connected with your team, and manage your personal priorities.

We help you live and work well. To support your personal and professional life, we offer a range of perks and benefits, including retail discounts, wellbeing leave, paid volunteering days, twelve flexible working options, market-leading parental leave and return to work support package.

Next Steps

Sound like the sort of role for you? Apply now, we'd love to hear from you!