Data Engineer - Australia — Sydney, Sydney Region

Decision Inc Australia is looking for a strong Data Engineer who is passionate about AI, data, implementing technology solutions, and leading project teams to achieve business outcomes. What does Decision Inc do? Decision Inc. is a global technology consulting organization with offices in South Africa, the United Kingdom and Australia. We are a leader in information-driven transformation with a core focus on data, digital and performance intelligence. Through Decision Inc. Australia's technology and industry specializations we have helped our Australian clients to make better decisions faster by creating value from our client's data and information. We bring our clients technology solutions that enable significant business progress whilst leveraging the research, expertise, and innovations of our global teams. We represent leading global technology brands and are experts in the implementation, support and advisory services focused on realizing client value through digital transformation. What will you do? Pre-Sales & Client Engagements Works with the sales and pre-sales function to support solution design, product demonstrations and customer proposals. Project Delivery Take the lead on the delivery of complex data engineering and modernization projects. Lead the design and architecture of a data platform and project delivery. Assemble large, complex data sets that meet functional / non-functional business requirements. Work with clients' internal and external stakeholders to assist with data-related technical issues and support their data infrastructure needs. Work with data and analytics experts to strive for greater functionality in our clients data systems. Identify, design, and implement clients' internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Customize and manage integration tools, databases, warehouses, and analytical systems. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using cloud technologies. Balance team support responsibilities with billable work, depending on capacity and utilization.