Deloitte jobs in Sydney NSW
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- DeloitteSydney NSW 2000
- Mentoring programs – receive support and coaching to progress your career.
- Engineering AI& Data (EAID) are an integrated team of industry specialists,…
- DeloitteSydney NSW 2000
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- DeloitteSydney NSW 2000
- Mentoring programs – receive support and coaching to progress your career.
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- DeloitteSydney NSW 2000
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- DeloitteSydney NSW 2000
- Mentoring programs – receive support and coaching to progress your career.
- Relevant bachelor’s degree or higher in accounting, commerce or a related field.
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- DeloitteSydney NSW 2000
- Help shape the reliability, security and performance of critical SQL Server environments across on-prem and cloud platforms.
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- DeloitteSydney NSW 2000
- To support your personal and professional life, we offer a range of perks and benefits , including retail discounts, wellbeing leave, paid volunteering days,…
- DeloitteSydney NSW 2000
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- DeloitteSydney NSW 2000
- You will work within a diverse team who are passionate about helping organisations to assess, define and sustainably implement cyber security capability.
- DeloitteSydney NSW 2000
- To support your personal and professional life, we offer a range of perks and benefits , including retail discounts, wellbeing leave, paid volunteering days,…
- DeloitteSydney NSW 2000
- You will play a key role in driving the delivery of engagements and conducting financial due diligence.
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- DeloitteSydney NSW 2000
- You will play a key role in driving the delivery of engagements and conducting financial due diligence.
- Develop a deep understanding of the target business and…
- DeloitteSydney NSW 2000
- Shape the future of AI by influencing innovation, strategy, and adoption at scale.
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- DeloitteSydney NSW 2000
- Help clients modernise planning, warehouse and transport operations by implementing the technology that keeps their supply chains moving.
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Job Post Details
Data, AI, and Machine Learning | Multiple Opportunities Available - job post
3.93.9 out of 5 stars
Level 9 Grosvenor Place 225 George Street, Sydney NSW 2000
You must create an Indeed account before continuing to the company website to apply
Location
Level 9 Grosvenor Place 225 George Street, Sydney NSW 2000
Benefits
Pulled from the full job description
- Parental leave
- Salary packaging
- Paid volunteer leave
Full job description
Date:
21 Aug 2026
Location:
Sydney, NSW, AU
Perth, WA, AU
Brisbane, QLD, AU
Melbourne, VIC, AU
Department:
All
Description:
Flexible work arrangements – work in a way that suits you best.
Mentoring programs – receive support and coaching to progress your career.
Salary packaging – to suit your personal and financial circumstances.
About Us:
Engineering AI& Data (EAID) are an integrated team of industry specialists, technologists, and operations transformation experts. We work with our clients to transform and run their technology platforms, optimise their operations, and help them take advantage of new technologies, drive innovation, improve financial performance and accelerate speed to market.
We typically hire for experts in following areas: -
AI, and Machine Learning
Senior Geospatial Consultants
Data & Machine Learning Engineers
We’re looking for talented individuals who have some of the following skills / experiences:
Experience in Data and/or ML Engineering, with hands-on experience in either Python or SQ, dbt highly regarded
Advanced SQL and database skills
Strong grasp of Data fundamentals, preferably with experience with databases, data warehouses, data lakes or other storage solutions.
Experience with Data modelling will be highly regarded
Hands-on development experience in at least one of the major hyper scaler platforms - AWS, Google Cloud, Microsoft Azure, Databricks and Snowflake
Previous consulting or client-facing experience is highly regarded
Exceptional interpersonal and communication skills.
Comfort working in a flexible and dynamic environment.
Technical certifications will be highly regarded.
Bachelor or MS degree in Mathematics, Statistics, Engineering or similar quantitative disciplines.
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.
21 Aug 2026
Location:
Sydney, NSW, AU
Perth, WA, AU
Brisbane, QLD, AU
Melbourne, VIC, AU
Department:
All
Description:
Flexible work arrangements – work in a way that suits you best.
Mentoring programs – receive support and coaching to progress your career.
Salary packaging – to suit your personal and financial circumstances.
About Us:
Engineering AI& Data (EAID) are an integrated team of industry specialists, technologists, and operations transformation experts. We work with our clients to transform and run their technology platforms, optimise their operations, and help them take advantage of new technologies, drive innovation, improve financial performance and accelerate speed to market.
We typically hire for experts in following areas: -
AI, and Machine Learning
Senior Geospatial Consultants
Data & Machine Learning Engineers
We’re looking for talented individuals who have some of the following skills / experiences:
Experience in Data and/or ML Engineering, with hands-on experience in either Python or SQ, dbt highly regarded
Advanced SQL and database skills
Strong grasp of Data fundamentals, preferably with experience with databases, data warehouses, data lakes or other storage solutions.
Experience with Data modelling will be highly regarded
Hands-on development experience in at least one of the major hyper scaler platforms - AWS, Google Cloud, Microsoft Azure, Databricks and Snowflake
Previous consulting or client-facing experience is highly regarded
Exceptional interpersonal and communication skills.
Comfort working in a flexible and dynamic environment.
Technical certifications will be highly regarded.
Bachelor or MS degree in Mathematics, Statistics, Engineering or similar quantitative disciplines.
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.
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