Data Operations Engineer

The Data Operations Engineer will be responsible for the integrity of production data, designing and creating steps to resolve issues, and supporting data requirements of different business areas. The role requires a strong understanding of data management frameworks, data modelling, and experience with enterprise data modelling tools.

Requirements

• Ability to scope and define data sets needed for specific use cases
• Knowledge and application of DMBOK data management frameworks and principals
• Familiarity with star schemas and data vault modelling
• Experience using enterprise data modelling tools (LucidChart, EA Sparx, ERWin, ER Studio, etc)
• Capability to create Conceptual, Logical and Physical data models for a range of technological solutions, databases and pipelines
• Familiarity with DataOps and/or DevOps Repos & Pipelines, with Attribute Based Access Control and deployments for Power BI
• A demonstrated in-depth knowledge of data base infrastructure and cloud data solutions, preferably Azure suite (D365, SQL, Analysis Services, Power BI, Purview, Dataverse, Gen II data lake, Synapse, Data Factory)

Benefits

• Australian citizen required
• Ability to obtain Baseline Clearance
• 12 months extensions available