Senior Data & Analytics Engineer: Platform Ownership

The Recruitment Company (Australia); Sydney; On-site; AUD 140,000 - 210,000; Full time

Job summary

The Recruitment Company (Australia) is seeking a Senior Data & Analytics Engineer to take genuine technical ownership of its evolving data platform in Sydney. You will work hands-on across SQL environments and a Microsoft Azure/Fabric ecosystem, driving design decisions from development through production.

Reporting to the Head of AI, Data & Analytics, you will own data engineering solutions, optimise queries, build ETL/ELT pipelines and contribute to the platform's reliability and performance.

Qualifications

• 7+ years of experience in data engineering, data warehousing or related roles.
• Advanced SQL/T-SQL and query optimisation skills.
• Strong data modelling and ETL/ELT expertise.
• Experience designing, building and supporting production data solutions.

Responsibilities

• Take ownership of data engineering solutions from design to production.
• Design and optimise complex SQL/T-SQL queries and data transformations.
• Build and maintain ETL/ELT pipelines and analytical datasets.
• Drive improvements across data environments and reduce technical debt.
• Translate business rules into production-ready solutions.
• Contribute to evolution of Microsoft Fabric and Azure data capabilities.
• Apply Git, testing, CI/CD and deployment best practices.
• Own data quality, reconciliation, troubleshooting and root-cause resolution.

Skills

SQL/T-SQL

Data modelling

ETL/ELT

Data warehousing

Git/version control

Azure data services

Microsoft Fabric

Python/PySpark

Independent ownership

Tools

Microsoft SQL Server

Azure

Terraform

Azure DevOps

PySpark

Python

Job description

The Recruitment Company (Australia) is seeking a Senior Data & Analytics Engineer to take genuine technical ownership of its evolving data platform in Sydney. You will work hands-on across SQL environments and a Microsoft Azure/Fabric ecosystem, driving design decisions from development through production.

Reporting to the Head of AI, Data & Analytics, you will own data engineering solutions, optimise queries, build ETL/ELT pipelines and contribute to the platform's reliability and performance.