Senior Data & Analytics Engineer - Azure Fabric Platform

The Recruitment Company

Sydney

On-site

AUD 140,000 - 170,000

Full time

3 days ago
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Job summary

The Recruitment Company – Macquarie Park NSW is seeking a Senior Data & Analytics Engineer to take genuine technical ownership of its evolving data platform. This is more than a development role and offers the chance to influence how data is engineered and delivered across the business.

Working across established SQL environments and a Microsoft Azure and Fabric ecosystem, you’ll design, build and productionise data solutions, own end-to-end pipelines, optimise queries and contribute to data

Qualifications

  • 7+ years in data engineering, data warehousing or database development.
  • Advanced SQL/T-SQL and data modelling experience.
  • Experience building production ETL/ELT pipelines and data quality.

Responsibilities

  • Own data engineering solutions from design to deployment.
  • Design and optimise SQL/T-SQL queries and database structures.
  • Build and maintain ETL/ELT pipelines and curated analytical datasets.
  • Improve existing data environments, performance and technical debt.
  • Contribute to the evolution of Microsoft Fabric and Azure data capabilities.
  • Apply engineering practices across Git, testing, CI/CD and deployment.
  • Take ownership of data quality, reconciliation, troubleshooting and root-cause resolution.

Skills

Advanced SQL
T-SQL
Data modelling
ETL/ELT
Git & CI/CD
Azure data services
Microsoft Fabric
Python
PySpark
SQL Server

Tools

SQL Server
Azure
Microsoft Fabric
Azure DevOps
Terraform

Job description

The Recruitment Company – Macquarie Park NSW is seeking a Senior Data & Analytics Engineer to take genuine technical ownership of its evolving data platform. This is more than a development role and offers the chance to influence how data is engineered and delivered across the business.

Working across established SQL environments and a Microsoft Azure and Fabric ecosystem, you’ll design, build and productionise data solutions, own end-to-end pipelines, optimise queries and contribute to data

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