How to become a big data engineer
Wrangle big data systems and tools to help organisations make the most of this valuable asset.
What does a big data engineer do?
Tasks and duties
Plan, design and implement the architecture of a data platform.
Manage and optimise the organisation’s data pipeline to ensure the infrastructure remains efficient.
Design and implement software systems related to data processing.
Research and identify data acquisition opportunities.
Work closely with data analysts and data scientists.
Industry bodies
Related jobs
Data scientist
Discover related degrees
Master of Data Science (Artificial Intelligence and Machine Learning)
PostgraduateUSQ-AIM-MAS
Harness big data to make big decisions
Steer your career towards the dynamic AI industry. You’ll explore data mining and learn how to manage what you find. Dive deep into deep learning. Unpack the techniques of natural language processing. You’ll also look at programming and project management.
- Study method
- 100% online
- Duration
- 2 years full time or part time equivalent
Bachelor of Information Technology (Artificial Intelligence and Data Science)
UndergraduateUSQ-ADS-DEG
Become an AI professional
Learn to mine data, create database systems, and feed AI algorithms. You’ll study programming, maths and networks. Cover statistical concepts. Think about AI solutions for real world problems. Grow your professional skills. Get real industry experience.
- Study method
- 100% online
- Duration
- 3 years full time or part time equivalent
Master of Data Science and Artificial Intelligence
PostgraduateUON-DAI-MAS
Harness data and AI to solve problems and transform industries
Become a leader in the AI revolution. You’ll delve into predictive modelling, big data, and intelligent systems. Specialisations include health data analysis and computational intelligence. Graduate with future-proof skills and enhanced career prospects.
- Study method
- 100% online
- Duration
- 2 years full time or part time equivalent
PostgraduateGRF-DSC-MAS
Tools and insights for work with complex datasets
Lead change and drive efficiency by unlocking the power of data. You’ll deep dive into data analysis, machine learning, and data management. Explore AI. Work with big data. Get to know best practice for data handling and visualisation.
- Study method
- 100% online
- Duration
- 2 years full time or part time equivalent
Discover related subjects
Data Handling and Statistics 2
UndergraduateTAS-KMA253
- Study method
- 100% online
- Start dates
- Starts 6 Jul 2026
Data Handling and Statistics 1
UndergraduateTAS-KMA153
- Study method
- 100% online
- Entry requirements
- No ATAR required. Start with a subject.
- Start dates
- Starts 23 Feb 2026, 6 Jul 2026
UndergraduateUNE-ICT101
- Study method
- 100% online
- Entry requirements
- No ATAR required. Start with a subject.
- Start dates
- Starts 23 Feb 2026, 19 Oct 2026
UndergraduateMAQ-FOSX1025
- Study method
- 100% online
- Start dates
- Starts 23 Feb 2026, 27 Jul 2026
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