Data & Integration Platform Lead - Azure & Power BI

Bindaree Food Group

Gold Coast City

On-site

AUD 120,000 - 180,000

Full time

14 days+
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Job summary

Bindaree Food Group is seeking a Data & Integration Engineer to own and enhance its Azure data platform. You will report to the CIO, with a data team built around this crucial role, driving production workloads and governance on the floor.

You will migrate and optimize across Azure services, build Power BI semantic models, implement source control and automated deployment, and ensure reliable AI-enabled data platforms.

Qualifications

  • Five or more years in data engineering, integration engineering or BI development.
  • Deep SQL and T-SQL, including performance tuning.
  • Proven Power BI -DAX, data modelling, semantic models and workspace administration.
  • Microsoft Entra ID, managed identities and Key Vault.
  • Integration patterns in production -SFTP, EDI, REST, queueing and incremental loads.
  • The judgement and self-sufficiency to own a production platform.

Responsibilities

  • Own a production Azure integration estate -20+ Logic Apps (Standard), 200+ workflows, supported by Azure Functions.
  • Administer and tune Azure SQL Managed Instance across roughly 25 databases.
  • Maintain EDI and file exchange with our major grocery customers.
  • Lead the migration from Azure Analysis Services to Microsoft Fabric.
  • Build Power BI semantic models and set the standards the team builds to.
  • Introduce source control and automated deployment.
  • Make sure the platform underneath our AI work is governed and trustworthy.

Skills

Data engineering
SQL/T-SQL
Power BI/DAX
Azure
EDI/Integration patterns
Production platform ownership

Tools

Azure
Azure SQL Managed Instance
Power BI
Microsoft Fabric
Azure DevOps
Bicep/Terraform
SQL Server

Job description

Bindaree Food Group is seeking a Data & Integration Engineer to own and enhance its Azure data platform. You will report to the CIO, with a data team built around this crucial role, driving production workloads and governance on the floor.

You will migrate and optimize across Azure services, build Power BI semantic models, implement source control and automated deployment, and ensure reliable AI-enabled data platforms.

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