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If your ambition is to make an impact in the world of data engineering – our ambition is to help you achieve it.
We can help you to leverage the demand for your data skills and expertise by using our decades of experience matching people to the right role, world-class networks and exclusive relationships with thousands of employers to find you the position that’s just right for you.
Find my next data engineer job in Australia
Do you know what you want from your next Data Engineer job? The opportunity to make an impact in a forward-thinking start-up or shake up an ASX-listed organisation? We can support you every step of the way to realise your potential.
Our network of Australia’s top employers means we have roles you can get excited about and the expertise to support you to secure them.
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Your Data Engineer job questions, answered
Where can I find Data Engineer jobs in Australia?
Data Engineer jobs Adelaide
Data Engineer jobs Brisbane
Data Engineer jobs Canberra
Data Engineer jobs Melbourne
Data Engineer jobs Perth
Data Engineer jobs Sydney
What does a Data Engineer do?
What skills does a Data Engineer need to have?
What is a Data Engineer’s job description and job responsibilities?
Design, develop and maintain data architecture
Assemble and acquire data which meets organisation requirements
Develop and design processes for data optimisation
Build the frameworks required for large data sets
Use programming languages and data analysis tools that is reflective of organisation goals and metrics
Work with other stakeholders including Data Scientists, who design machine learning and AI models, and deploy these into data pipeline
Deliver updates and analytics to stakeholders
What skills and experience are employers looking for from Data Engineers?
With respect to Data Engineers, employers have made it clear that they are placing more emphasis on experience rather than education.
This means that there are great opportunities for those with the requisite skills outlined below:
Strong communication skills are a key component of a Data Engineer’s role. On any given day, they may have to liaise with a list of IT professionals including Data Scientists, Machine Learning Engineers, Data Analysts, and a range of developers. In addition, they may work with other teams to acquire the necessary information required to define the scope of a project. Working with other key stakeholders emphasises the importance of effective communication during what is often a collaborative task.
Employers have made it clear that being able to excel in a team environment is important. A Data Engineer is required to work with other IT professionals, all of whom depend on one another for deliverables. Consequently, there is a need for a healthy working relationship and the ability to collaborate effectively for projects to run smoothly. Those who have displayed strength in this area through the delivery of previous projects will be in a favourable position.
The requirement for sound presentation skills is rising on the list of skills that employers are looking for. One of the things we have noticed here is that many key stakeholders do not possess the technical knowledge needed to understand the large-scale data analysis that is conducted by Data Engineers. As a result, it is becoming increasingly important for Data Engineers to present their findings in a manner which is easy for stakeholders outside of IT to understand.
As is the case with many IT roles, Data Engineers need to have a sound understanding of programming languages. These languages are required to code the data infrastructures that support business information systems and applications. Employers have listed Python as the most common language for data analysis and scripting, but we recommend Data Engineers understand multiple languages.
Similarly, employers expect Data Engineers to be proficient in SQL and NoSQL database systems. This knowledge is considered essential as they are tasked with creating the data systems that will house the data along with the way it will be organised and found.
A complementary skill that employers seek experience in is data warehousing. Data Engineers should be able to use tools to store, analyse and process data. Hadoop, Hive and Kafka are often referenced as desirable knowledge by employers as they allow for building robust and integrated data infrastructure.
What type of employers hire Data Engineers?
Some of the major industries employing the services of a Data Engineer are:
- Information Technology – A surge in data and the creation of new systems such as cloud computing has paved the way for a substantial number of Data Engineer jobs. With more data to be stored and analysed, the value that a Data Engineer can bring to these organisations should not be underestimated.
- Financial Services – A high volume of Data Engineers are sought in financial services as they have large amounts of data that needs to be store in very robust data warehouses with good data pipelines and established data governance. In addition, organisations within financial services are also starting to invest in big data platforms more, requiring Data Engineers.
- Healthcare – The role of technology in healthcare is growing at a rapid rate. From the systems that now store data to the way it is managed and analysed, there is high demand for Data Engineers.
- Telecommunications – Due to the large volume of data collected within this industry, from the growing use and range of data driven applications available in the market now, there is a continued demand for good data engineers in this area. This is to ensure that the organisation has hardy enough data systems to handle this increased volume of data and to ensure that the data is stored and flows through each system correctly.
What technologies does a Data Engineer use?
Programming Languages: Python, Java, Scala, R and Ruby among others
Database Management Software: SQL and NO SQL
Cloud Migration: AWS, Microsoft Cloud Azure, Google Cloud Platform
Data Warehousing: PostgreSQL, Hadoop, Hive, Kafka and others
How much do Data Engineers earn in Australia?
How can I become a Data Engineer in Australia?
As a relatively new field there are no formal Data Engineer qualifications. We have found that the most common educational backgrounds include bachelor’s degree in Computer Science, other IT related disciplines and Mathematics.
Currently, employers are more focused on experience rather than education. This means that it is essential to develop the technical skills required to be a Data Engineer. This should start with mastering SQL, Python and R along with ETL methodologies.
Expand your knowledge. This can be with respect to programming languages or data technologies and tools (Hadoop, Spark, Hive etc). Similarly, cloud computing services are consistently being noted by employers including AWS and Microsoft Azure.
Gain experience in software in important areas such as software development and data science with emphasis on getting credited where possible. Being able to show certification for skills on your resume will help you stand out.
Work on your core skills as they could be the differentiator. Employers are placing significant value on the ability to communicate effectively and collaborate within a team environment.