Today, almost every action we take leaves some kind of digital trail. We generate data every time we go online, make a purchase or carry our GPS equipped smartphone; we leave a digital footprint with every digital action we make. Through the ‘datification’ of the world, advances in storage and analytics mean we can capture, store and read many different types of data, using cutting edge analytics like artificial intelligence, robotics and machine learning to make sense of our human experience.
Big Data works on the principle that the more you know about something, the more reliably you can gain new insights and make predictions about what might happen in the future. Evidently, this has huge implications for technology and businesses, and the demand for skilled Big Data Engineers is projected to rapidly grow.
Data is a key asset in its own right; platform technology businesses that are entirely fuelled by data are amongst the most successful companies in the world. For example; think of Apple’s business-wide use of data, promoting granular level insights to understand its customer.
Big Data is transforming industries on a grand scale, from healthcare to retail, manufacturing to farming, Big Data and Big Data Engineers are increasingly indispensable to professional services we use every day. Whilst a Data Scientist is more focused on advanced mathematical and statistical analysis, a Big Data Engineer is responsible for the creation and maintenance of analytics and infrastructure that enables almost every other function in the data world.
A good Big Data Engineer is often well versed in machine learning and advanced statistical modelling, a hybrid of sorts between an analyst and scientist, responsible for the development, maintenance and testing of architectures or databases, managing data workflows, pipelines and ETL processes. A good Big Data Engineer is likely to have knowledge of SQL, Python, Cloud platforms like AWS, programming languages such as Java and Scala, data modelling and warehousing, and operating systems (e.g. UNIX /Linux / Solaris).
Big Data Engineers play a critical role in explaining the ‘bigger picture’ to decision makers. Therefore, Big Data Engineers have huge value, across all industries. Salary for a Big Data Engineer is likely to vary depending on experience and the role itself, with Big Data Engineer roles in London likely to offer more.
Big Data Engineer is just one area of the world of Big Data – there are multiple job titles and specialisations within Data Engineering. This includes Business Intelligence Engineer, Machine Learning Engineer, Computer Vision Engineer, Data Warehouse Engineer, Data Architect, Database Developer, ETL Developer, Big Data Analyst, Quantitative Analyst and more.
If you are interested in a Big Data Engineer role across Australia, call one of our specialist consultants today.