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Data Engineer

Data Engineers enhance data management systems for organisations, collaborating with executives to improve efficiency while leading the EIM team.

How do I become a data engineer

Get qualified to work as a data engineer with a course recognised across Australia. Speak to a training provider to learn more.

Related career opportunities

Browse occupations related to Data Engineer.

Common questions

In Australia, a full time Data Engineer generally earns $2,500 per week ($130,000 annual salary) before tax. This is a median figure for full-time employees and should be considered a guide only. As you gain more experience and technical expertise you can expect a higher salary than people who are new in the role.

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Opportunities for Systems and Data Engineers are expected to grow strongly over the next 5 years as thousands of jobs open up in this field. Data Engineers are employed in all industries and employment sectors especially by ICT, scientific, technical, education government and financial services organisations.

Source: Australian Government Labour Market Insights

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Data Engineers usually have a Bachelor’s degree in computer science but you can get started with a VET qualification and solid coding skills. Try the Certificate IV in Programming, the Certificate IV in Database Design and Development, the Diploma of Information Technology, and the Advanced Diploma of Computer Systems Technology. These courses take 12-18 months to complete.

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Further reading

What Skills Does a Data Analyst Need?

25th November 2022

Anything but binary

26th February 2020

What is the Role of a Business Analyst?

14th October 2022

Data Engineer careers

Data Engineers work with big data, helping organisations store and access their operating data more efficiently. They liaise closely with senior executives (or clients) to develop, maintain, update, and improve data management systems — and often lead the Enterprise Information Management (EIM) team.

As a Data Engineer you’ll need a range of skills including coding (using a variety of programming languages), IT project management, business writing, leadership, systems analysis and testing, data governance, and modelling.