Deloitte

Date: 9 Sept 2026
Location: Sydney, NSW, AU
Melbourne, VIC, AU
Brisbane, QLD, AU
Perth, WA, AU
Department: All
Description: AI &amp; Data | Tech &amp; Transformation/ Consulting Opportunities
Shape the future of AI by influencing innovation, strategy, and adoption at scale.
Work directly with executive leaders to deliver measurable business outcomes through AI.
Build real-world AI solutions alongside leading AI pioneers and engineers, taking ideas from concept to enterprise deployment.
About Us: Our AI &amp; Data team brings together 500+ specialists across Australia, helping public and private sector clients solve complex business challenges through AI, data and cloud solutions. Backed by strategic alliances and technology relationships with Amazon, Microsoft, Google, Databricks, and Snowflake, we deliver innovative, scalable solutions and are recognised as leaders in Cloud, Data, Analytics and AI. Our AI Pioneers, Forward Deployed Engineers and Value &amp; Adoption Leads form the practice's leading edge, ensuring AI driven innovation delivers measurable business value for clients. You'll have the opportunity to grow your influence, develop new capabilities, support others' success, and contribute to a culture that values curiosity, collaboration and continuous learning.
We typically hire for experts in following areas: -
Data Engineering &amp; Platforms
Data Architecture and solution Architecture
AI Engineering, Generative AI
Data Migration, Data Modelling, Data Governance
Modern Data Platform Engineering (AWS/ GCP/ Azure/ Snowflake/ Databricks)
AI &amp; Data Strategy &amp; Transformation
We welcome applications from experienced professionals with 3+ years of relevant industry experience, spanning Consultant through to Director level opportunities .
We’re looking for talented individuals who have some of the following skills / experiences:
Data Platforms &amp; Hyperscalers Data Engineering
Designing/ Architecting &amp; Delivering AI &amp; Data Solutions - Design and build AI-enabled applications, agentic workflows, analytics products and data platforms that are secure, scalable and production-ready.
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.
Client Collaboration – Work with client stakeholders and delivery teams to understand requirements and contribute to effective technical solutions.
AI Value &amp; Adoption Engineering
Defining business value, investment cases, and AI transformation roadmaps.
Driving adoption, change, requirements, and benefit realisation initiatives.
Partnering with business and technology stakeholders to deliver measurable outcomes.
AI Pioneering
Building, experimenting with, or scaling AI, Generative AI, LLM, or agent-based solutions.
Turning innovative ideas into reusable assets, accelerators, or new ways of working.
Combining technical depth and creativity to solve complex problems.
Forward Deployed Engineering
Designing, building, and deploying AI, data, or software solutions in production environments.
Working with cloud platforms such as Azure, AWS, or Google Cloud.
Delivering scalable, enterprise-grade solutions that create real business impact.
What we're looking for: -
Strong foundations in data and software engineering , with experience across the SDLC in building and delivering scalable data, AI or software solutions.
Deep hands-on experience designing and deploying enterprise cloud data platforms , including navigating architecture, security and design review forums.
Proficiency in Python , Java or TypeScript, along with SQL, and a commitment to building high-quality, maintainable solutions.
Advanced SQL and database skills
Experience in Data and/or AI Engineering, with hands-on experience in either Python or SQL, dbt highly regarded.
Experience with Data modelling will be highly regarded
Experience building AI, data or software solutions on modern platforms , including Azure, AWS, Google Cloud, Databricks or Snowflake.
Experience delivering data architecture, engineering or cloud platform solutions using Databricks, Snowflake, AWS, Microsoft Azure or Google Cloud.
Strong grasp of data fundamentals , preferably with experience across databases, data warehouses, data lakes and other enterprise storage solutions.
Ability to navigate ambiguity, break down complex problems and guide teams toward practical engineering outcomes.
Experience building production-ready data products, pipelines and AI-enabling data services with automated testing, CI/CD, governance and observability for analytics, machine learning, GenAI and operational use cases.
At least one formal certification in a relevant data platform or hyperscaler technology is highly regarded
Previous consulting or client-facing experience will be highly regarded.
Exceptional interpersonal and communication skills.
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 support flexibility and choice. We encourage you to find the right balance between connecting in person with your clients and teams and meeting your own personal needs.
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.

Data, AI, and Machine Learning | Multiple Opportunities Available

Data, AI, and Machine Learning | Multiple Opportunities Available

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