We're looking for aData Engineer with strong Azure and Databricks experienceto join a growing data team in Sydney.
This is a hands‐on engineering role where you'll work across modern cloud data platforms, building and supporting scalable data pipelines and helping deliver reliable, high‐quality data solutions.
In this role, you'll be
Designing, developing and maintaining scalabledata pipelines using Azure Databricks and Azure Data Factory.
Building and optimisingETL/ELT workflowsacross cloud‐based data platforms.
Developing solutions usingPySpark, Spark SQL, Python and SQL.
Working withDatabricks notebooks, jobs, clusters and workflows.
SupportingLakehouse and Medallion Architecturepatterns across data platforms.
Working with Azure services includingADLS/Blob Storage, Azure SQL, Key Vault and Azure DevOps.
Monitoring data pipelines, troubleshooting issues and performingroot‐cause and performance analysis.
Supporting CI/CD, Git‐based development and automated deployments.
Working closely with Data Engineers, Architects and business stakeholders to deliver reliable data solutions.
Maintaining strong standards arounddata quality, security, documentation and engineering best practice.
What we need from you
Around3–6 years' experiencein Data Engineering or a similar hands‐on data role.
Commercial experience working withAzure Databricks.




Strong experience withAzure Data Factory (ADF).
Good hands‐on capability withPython, PySpark, Spark SQL and SQL.
Experience building and maintainingETL/ELT data pipelines.
Understanding ofLakehouse and Medallion Architecture.
Experience working with Azure data services such asADLS, Azure SQL, Blob Storage and Key Vault.
Familiarity withGit, Azure DevOps and CI/CD pipelines.
Understanding of data modelling, data quality and performance optimisation.
Strong troubleshooting and problem‐solving skills.
Clear communication skills and the ability to work effectively with both technical and business stakeholders.
Nice to have
Experience withdbt.
Exposure toTerraform / Infrastructure as Code.
Understanding of Databricks Unity Catalog.
Experience with monitoring tools such as Azure Log Analytics or Splunk.
Exposure to enterprise‐scale data migration or modernisation programs.
Why INGRITY?
AtINGRITY, we're passionate about helping organisations get more value from their data.
You'll have the opportunity to work alongside experienced data professionals, contribute to interesting client projects and continue developing your skills across contemporary Azure and Databricks technologies.
If you're a hands‐on Data Engineer looking for your next opportunity in Sydney, we'd love to hear from you.
#J-*****-Ljbffr

📌 Data Engineer - Azure / Databricks (New South Wales)
🏢 INGRITY
📍 New South Wales