Azure Data Consultant: AI-First Platform Engineer

Arinco

Auckland

Hybrid

NZD 90,000 - 130,000

Full time

3 days ago
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Benefits offered by this job

Tech/home office allowance (NZ$2,500)
Flexible hybrid work
Learning & certifications
Team events

Job summary

Arinco, a Microsoft partner across Australia and New Zealand, is hiring a Consultant for its Intelligent Data Practice. You will deliver end-to-end customer projects and help build new offerings and IP, contributing to our engineering culture.

You will work on data platforms using Microsoft Fabric or Azure Databricks, implement ETL/ELT pipelines, and collaborate with data engineers, architects, business analysts and project managers. Flexible home/office, on-site when required.

Qualifications

  • Strong proficiency with Microsoft Fabric or Azure Databricks for data platforms.
  • Hands-on experience in data ingestion, transformation and analytics pipelines.
  • Experience with data engineering best practices, including security.
  • Fluency in Python for scalable ETL/ELT processes.
  • Excellent communication to explain data concepts to diverse stakeholders.
  • Proven teamwork with data engineers, architects, analysts and PMs.
  • Experience in data governance and data modelling.
  • Hands-on IaC with Bicep or Terraform for Azure resources.
  • Proficiency with CI/CD using GitHub Actions or Azure DevOps.

Responsibilities

  • Deliver end-to-end customer data projects.
  • Develop new offerings, IP and knowledge sharing.

Skills

Azure Databricks
Python
ETL/ELT pipelines
Data governance
Communication
Team collaboration

Tools

GitHub Actions
Azure DevOps
Terraform
Bicep

Job description

Arinco, a Microsoft partner across Australia and New Zealand, is hiring a Consultant for its Intelligent Data Practice. You will deliver end-to-end customer projects and help build new offerings and IP, contributing to our engineering culture.

You will work on data platforms using Microsoft Fabric or Azure Databricks, implement ETL/ELT pipelines, and collaborate with data engineers, architects, business analysts and project managers. Flexible home/office, on-site when required.

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