We are a state government organisation made up of more than 28,000 people and we're in the middle of delivering the largest transport infrastructure program in Australia's history. We work across planning, policy and procurement, harnessing data and technology to develop smarter and more adaptive transport solutions.

 That means job opportunities in metropolitan and regional areas right across NSW – you have the chance to be part of creating a lasting legacy that will benefit generations to come. 

The Division    

We are a trusted partner to our clients, within Customer Strategy and Technology, developing and delivering smart, integrated, and sustainable data and analytics solutions which enable evidence-driven decisions to benefit our customers and communities, and leading an uplift in data literacy of use of data insights across the cluster.

 The opportunity   

 Right now, we have an exciting opportunity for a Data Engineer to join us in the Advanced Analytics and Insights team. This role is a permanent full time based at Macquarie Park with flexible work options.

 A talent pool may also be formed for future permanent or temporary opportunities. 

What you will be involved in:  

• Create and maintain the implementation of an optimal data pipelines from a wide variety of internal and external sources into a large cloud environment.
• Assemble large, complex data sets that meet and exceed functional and non-functional business requirements.
• Identification, designing and implementing process improvements which include replacing manual processes, optimising data delivery, re-designing cloud infrastructure for greater scalability
• Work with genuinely large datasets and implement against reference designs to meet the functional requirements of the cluster, branch and consumers.
• Identify, design, and implement internal process improvements: automating manual processes, streamlining data delivery and re-designing infrastructure for greater scalability and elegance.
• Work with data and analytics experts to strive for greater functionality in our data systems.
• Build and support the infrastructure as code required for the ELT (extract, load, transform) of data into a data lake including SQL and a range of native ‘big data’ cloud technologies.
• Keep the virtualised separation of cloud environments and play a strong role in contributing to protecting the data inside a secured perimeter.
• Communicate and engage with stakeholders in simple business terms the opportunities to leverage data and its connection to enabling data driven decisions