Senior Data & Analytics Engineer (MS Fabric)

TRC Group; Sydney; On-site; AUD 150,000 - 210,000; Full time

Job summary

TRC Group is seeking a Senior Data & Analytics Engineer to own and evolve the data platform within a Microsoft Azure and Fabric ecosystem.

You'll work across established SQL environments, design and deploy ETL/ELT pipelines, and drive data quality, ownership and reliability from design through to production.

This role offers autonomy, technical leadership, and close collaboration with stakeholders across the business.

Qualifications

• 7+ years' experience across data engineering, database development or data warehousing.
• Advanced SQL/T-SQL, database development and query optimisation skills.
• Strong data modelling, dimensional modelling and ETL/ELT expertise.
• Demonstrated experience personally designing, building and supporting production data solutions.
• Strong Git, version control, code reviews and deployment practices.
• Experience across Microsoft SQL Server, Azure data services and/or Microsoft Fabric.
• The ability to independently make technical decisions and take ownership of complex work.
• Strong communication skills and the ability to collaborate with technical and business stakeholders.

Responsibilities

• Taking ownership of data engineering solutions from design and development through to deployment and production support.
• Designing and optimising complex SQL/T-SQL queries, database structures and data transformations.
• Building and maintaining ETL/ELT pipelines, data models and curated analytical datasets.
• Driving improvements across existing data environments, performance and technical debt.
• Translating source-to-target mappings and business rules into production-ready solutions.
• Contributing to the evolution of Microsoft Fabric and Azure data capabilities.
• Applying strong engineering practices across Git, testing, CI/CD and deployment.
• Taking 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

Production data solutions

Communication with stakeholders

Tools

Microsoft Fabric

Azure DevOps

Terraform

Python

PySpark

Job description

Own the Platform. Drive the Data Transformation.

Our client is investing in its AI, Data & Analytics capability and is seeking a Senior Data & Analytics Engineer to take genuine technical ownership of its evolving data platform.

This is more than a development role. It's an opportunity for a hands-on senior engineer to drive technical improvements, strengthen data foundations and influence how data is engineered and delivered across the business.

Working across established SQL environments and an evolving Microsoft Azure and Fabric ecosystem, you'll have the autonomy to make technical decisions, solve complex challenges and take ownership from design through to production.

The Opportunity

Reporting to the Head of AI, Data & Analytics, you'll play a key role in the ongoing development, optimisation and reliability of the data platform.

Your responsibilities will include:

• Taking ownership of data engineering solutions from design and development through to deployment and production support.
• Designing and optimising complex SQL/T-SQL queries, database structures and data transformations.
• Building and maintaining ETL/ELT pipelines, data models and curated analytical datasets.
• Driving improvements across existing data environments, performance and technical debt.
• Translating source-to-target mappings and business rules into production-ready solutions.
• Contributing to the evolution of Microsoft Fabric and Azure data capabilities.
• Applying strong engineering practices across Git, testing, CI/CD and deployment.
• Taking ownership of data quality, reconciliation, troubleshooting and root-cause resolution.

What We're Looking For

• 7+ years' experience across data engineering, database development or data warehousing.
• Advanced SQL/T-SQL, database development and query optimisation skills.
• Strong data modelling, dimensional modelling and ETL/ELT expertise.
• Demonstrated experience personally designing, building and supporting production data solutions.
• Strong Git, version control, code reviews and deployment practices.
• Experience across Microsoft SQL Server, Azure data services and/or Microsoft Fabric.
• The ability to independently make technical decisions and take ownership of complex work.
• Strong communication skills and the ability to collaborate with technical and business stakeholders.

Microsoft Fabric, Azure DevOps, Terraform, Python and PySpark experience will be advantageous.

Why This Opportunity?

Join a collaborative AI, Data & Analytics team within a well-established global organisation.

You'll have the opportunity to take real ownership, influence technical direction and contribute to the evolution of a data platform supporting future analytics and AI initiatives.

If you're a senior engineer who enjoys autonomy, technical ownership and building solutions that make a difference, we'd love to hear from you.