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About the company My client is a leading major Australian life insurance provider backed by a global insurance giant. It is headquartered in Melbourne and employs nearly 1500 staff in all 6 Australian states and 2 ter…
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sign in above to apply · via randstad.com.au
About the role
About the company
My client is a leading major Australian life insurance provider backed by a global insurance giant. It is headquartered in Melbourne and employs nearly 1500 staff in all 6 Australian states and 2 territories. As a national life insurance provider managing over 1 million policyholders, their coverage spans the entire country.
About the role
Because of their immense growth in their Data Engineering portfolio, an exciting opportunity has come up in one of their Sydney offices. Are you an experienced Senior Data Engineer looking to make a direct impact on a business-critical integration project? This newly created permanent role offers the opportunity to design and deliver enterprise-level data solutions, modernise a modern data platform, and enable smarter, data-driven decision-making across the organisation.
What You Will Do:
What You Need to Apply for This Role:
Interested? Apply Now!
You must be a Sydney based candidate with full working rights to work in Australia to be considered.
It is an urgent position, and my client is interviewing candidates at the moment. It is an exceptional opportunity for someone who has worked as a Senior Data Engineer with experience in Informatica IICS and Snowflake. Only Australian Permanent Residents and Citizens required for this role.
For more information on the role, please either apply or contact Nathan Sabherwal on ***************@randstaddigital.com.au or 0430880***. Randstad is a specialist recruitment agency specializing in IT, Accounting and Corporate Services.
At Randstad, we are passionate about providing equal employment opportunities and embracing diversity to the benefit of all. We actively encourage applications from any background.
sign in above to apply · via randstad.com.au
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