Senior Data & Analytics Engineer (MS Fabric)

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

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.

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