Join a major, multi-year data transformation program delivering a modern enterprise data platform that will improve analytics, reporting and evidence-based decision-making across a large and complex organisation.
We are seeking a hands-onData Engineerwith strong Microsoft Fabric and Azure experience to design, build and operate secure, reliable data pipelines and reusable data products.
You will work within an emerging enterprise data platform environment, partnering with governance specialists, analysts, data stewards and product owners to deliver trusted, high-quality data for business intelligence and reporting.
The Role You will be responsible for building ingestion and transformation processes across Bronze, Silver and Gold data layers, developing curated datasets and semantic models, integrating Microsoft Purview governance controls, and automating deployment and monitoring.
Brisbane CBD location / Hybrid
Contract to June 30th **** with likely extension
Paying up to $**** per day
Key responsibilities include:
Building and operating pipelines using Microsoft Fabric Pipelines, Dataflows Gen2, Notebooks, Spark, Lakehouse, OneLake and SQL Endpoints
Designing Bronze, Silver and Gold data layers using medallion architecture
Developing dimensional models, semantic models and reusable data products for Power BI
Using SQL, PySpark and dbt to transform and serve enterprise data
Running and scheduling Microsoft Purview scans
Applying classifications, sensitivity labels,



lineage and metadata controls
Implementing automated data quality checks, validation rules and testing
Applying privacy-by-design and security principles, including RBAC, managed identities, masking and audit logging
Establishing Git-based CI/CD workflows through Azure DevOps
Monitoring pipelines, resolving incidents and optimising performance, storage and compute costs
Maintaining technical documentation, runbooks and data dictionaries
Contributing to reusable engineering standards, templates and delivery patterns
You will bring:
At least five years of commercial data engineering experience
Strong hands-on experience with Microsoft Fabric
Advanced SQL and PySpark capability
Experience delivering production-grade data pipelines and curated datasets
Practical experience with Azure data services such as Azure Data Factory, Synapse or Databricks
Hands-on Microsoft Purview experience, including scans, collections, classifications, glossary and lineage
Solid knowledge of medallion architecture and dimensional modelling
Experience serving data to Power BI
CI/CD experience using Azure DevOps
A strong understanding of data security, privacy and governance
Experience working with data stewards, custodians, analysts and technical stakeholders
Strong documentation and stakeholder communication skills
Exposure to Bicep, Terraform or other Infrastructure-as-Code tooling will be highly regarded.
#J-*****-Ljbffr

📌 Data Engineer (Brisbane)
🏢 Aspirante
📍 Brisbane