We are looking for a hands-on Data Engineer to support the design, build and operation of secure, reliable data pipelines and data products within an emerging Enterprise Data Platform.
This role will suit someone with strong Microsoft Fabric and Azure experience who is comfortable working across ingestion, transformation, governance, quality, deployment and monitoring.
You'll work closely with data governance, data stewards, custodians, analysts and product owners to deliver trusted, reusable datasets and semantic models for analytics and reporting.
What you'll be doing:
Build and operate data pipelines using Microsoft Fabric
Deliver ingestion and transformation across Bronze, Silver and Gold layers
Create curated datasets and reusable data products
Develop semantic and dimensional models for Power BI
Use Lakehouse, OneLake, SQL Endpoints, Dataflows Gen2 and Notebooks
Run and schedule Microsoft Purview scans
Apply classifications, sensitivity labels and lineage
Implement data quality checks, validation rules and automated testing
Maintain technical documentation, runbooks and data dictionaries
Support privacy-by-design data ingestion and secure data use
Apply RBAC, managed identities and least-privilege access
Automate deployment using Git and Azure DevOps
Configure monitoring, alerting and operational dashboards
Tune performance, storage and compute schedules
Contribute to engineering patterns, templates and standards
What you need to bring:
5+ years' experience in data engineering or equivalent
Strong hands-on experience with Microsoft Fabric
Solid SQL and PySpark skills
Experience building production-grade data pipelines
Exposure to Azure data services such as ADF,



Synapse or Databricks
Practical experience with Microsoft Purview
Strong understanding of medallion architecture
Experience serving data to Power BI
Good knowledge of data quality, testing and validation
Understanding of security and privacy fundamentals
Experience working with governance teams and data stakeholders
Clear documentation and stakeholder communication skills
Solid attention to detail
Confidence working in a fast-moving programme environment
Bonus points for
Experience with dbt and Proficy
Infrastructure-as-Code exposure, such as Bicep or Terraform
Azure DevOps pipelines, environments and approvals
Experience designing reusable engineering patterns
Strong Power BI semantic modelling experience
Experience with enterprise data platforms
Exposure to cost optimisation across storage and compute
Experience supporting auditability, lineage and compliance
Good to know
Initialcontract through until June ****
Location:Brisbane CBD
Work arrangement:Hybrid, exact arrangements to be negotiated with successful candidate
Start date: Mid to Late August
Rate:$**** per day incl super
You'll be joining an emerging enterprise data platform programme
Strong focus on secure, repeatable and auditable data products
This is a hands-on delivery role with close stakeholder engagement
Suitable for someone who enjoys building structure, standards and reusable patterns
At Clicks we embrace diversity, inclusion and equal opportunity.
First Nations people are encouraged to apply.
We provide reasonable adjustments, including alternate formats to the recruitment process for individuals with a disability.
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📌 Data Engineer (Queensland)
🏢 Clicks It Recruitment
📍 Queensland