Data Engineer at Bupa
Melbourne, Victoria, Australia -
Full Time


Start Date

Immediate

Expiry Date

20 Aug, 25

Salary

0.0

Posted On

21 May, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Analysis Services, Azure, Computer Science

Industry

Information Technology/IT

Description

OPPORTUNITY SNAPSHOT:

An exciting, 12 month fixed term opportunity has become availablefor a Data Engineer
Our Global 3x6 Elephant Strategy set us a clear ambition to be the world’s most customer-centric healthcare company. To bring our ambition to life, it is critical we elevate the focus on digital and data, evolving how we do things to create value for our customers now and into the future.
As a Data Engineer at Bupa you will bring specialist skills which enables Bupa ANZ to execute on its Data Strategy. Collectively, we are working to build the future state of Bupa’s data platforms on Microsoft Azure services, and to enable the business to work strategically with data to maximise competitive performance. Data Engineers contribute to the evolution of Bupa’s data estate via squad, project, and business partnering approaches.
At Bupa ANZ, Data Engineers have a broad skill set, and work across various Data Services; Operational Data and Analytics, Data Warehouse and BI, Advanced Analytics and Self-service, and across different business units including Health Insurance, Health Services, and corporate functions.

ABOUT US:

Bupa has a strategic goal of being the most customer-centric digital healthcare organisation, with the use of data as an explicit pillar of this strategy.

Responsibilities
  • Educated to minimum of degree level in engineering, computer science or related technology discipline
  • 2 to 5 years’ experience as a software or data engineer
  • Azure certifications(s) or equivalent
  • Strong level SQL/TSQL
  • Strong level Spark
  • Strong CI/CD experience
  • Strong engineering practices
  • Microsoft Azure data services skills, specifically:
  • Azure Synapse/Azure SQL DW (Useful)
  • Azure DataBricks/Spark (Mandatory)
  • Azure Data Factory (Mandatory)
  • Azure Analysis Services (Useful)
  • Azure ML (Nice to have)
  • Azure Cosmos DB (Useful)
  • Azure EventHubs (Useful)
  • PowerBI (Useful)
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