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Career Opportunities: Azure Database Engineer (213021)


Sydney, New South Wales, Australia

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Job Posted: 20/09/2017

Job Category:

IT and Telecommunications / Database Dev. & Admin

Job description:



About The Role:


  • Engineer, architect and maintain our new cloud big data repository in Microsoft Azure.  
  • Create a culture of data driven decision making, and enabling customers through data, by providing an industry data and product capability to the digital team.

As a key SME within the Digital team your role is to help architect / engineer, build & maintain our new ‘Big Data’ platform and be able to strategize and help implement the right data storage recommendation based on our customer needs at the time. 

The success of your role is the ability to engineer and deliver a best practice approach to data storage, transformation and migration to other data storage platforms and usage of technologies such as Blob, NoSQL, Azure SQL, Azure SQL Data warehouse, Hadoop, Block Chain, Data Lakes and others as deemed fit for purpose. Also important are technologies such as the use Azure Data Factory.


What You'll Do:


  • Research and design of various data platforms as required to address business need

  • Management of an environment which contains tools for insights and analysis.

  • Provide support to Data and Analytics team consisting of Data Scientists.

  • Design and help implement sound strategies for big data storage, Archiving and purging as deemed necessary

  • Defining and implementing data security strategies for ensuring key data is kept secure, with appropriate access to key teams and users

  • Engineer structured and unstructured data from source systems to fit business needs


What You'll Need to Succeed:


  • Deep working knowledge of Cloud infrastructure across Azure, AWS and Open source cloud environments.

  • Deep understanding of Big Data structures, Modelling and Machine learning environments.

  • Strong working experience on Big Data, Hadoop, ODI, Tableau, Teradata

  • Good in oracle PL/SQL, Machine Learning

  • Experience in Data and Engineering practises.

  • Good knowledge on Data quality tools.

  • Tertiary Qualification in IT / Computer Science or related discipline.

  • Proven track record of building data and integration

  • At least 5 years' experience as a digital analyst preferably within a product marketing/e-commerce environment.
  • Demonstrated work in the area of Innovation or technology based Disruption


Experience in the following areas would be highly regarded -


  • Experience with Cloudera

  • Previously worked in a Big Data environment

  • Experience with Machine Learning

  • Experience with SQL DWH.

  • Experience with Azure Data Factory
Sound like your next opportunity? Apply now or head along to to discover more!