We’re on the lookout for a Data Engineer who’s confident working across Azure and Databricks and enjoys building things properly from the ground up. This is a hands-on role where you’ll be designing and maintaining modern data pipelines and playing a big part in how data moves through the business.If you like solving real-world problems, improving how teams access and use data, and being part of a collaborative, forward-thinking team — we’d love to hear from you.About the RoleBuilding and managing SparkSQL or PySpark pipelines in an Azure Data Lakehouse setup.Using tools like Azure Data Factory, Data Lake Gen2, Databricks, and Synapse to bring together large data sets that are clean, reliable, and ready to use.Working with stakeholders across the business, to understand what’s needed and help shape the data architecture to support it.Keeping a close eye on pipeline performance, resolving any issues, and looking for ways to make things run better.Making sure our data is secure across both cloud and on-prem platforms.Keeping documentation up to date so everyone can follow how the system works.Helping improve our DevOps approach, including CI/CD processes for data work.What We're Looking ForSolid experience as a Data Engineer working with modern data tools and platforms.Confidence with Azure services like ADF, Data Lake, Databricks, Synapse, and Azure SQL.Strong SQL skills and some hands-on experience with Python.Familiar with DevOps tools and practices, especially within the Azure environment.Understanding of data warehousing concepts and know how to get messy data into shape.Drive to take ownership of your work, ask good questions, and enjoy figuring things out.Bonus Points ForAzure Data Engineer Associate certification.Databricks accreditation or certification.Experience with Power BI or other visualisation tools.A background in analytics, BI, or similar data-focused environments.Why This Role?You’ll have influence – This isn’t a maintenance role. You’ll help design how our data systems work.Plenty of variety – Cloud, on-prem, multiple teams — no two days will look the same.Trusted to get on with it – We hire people for their capability and let them do what they do best.Supportive team – Work with people who are collaborative, practical, and easy to get along with.Room to grow – Learn new tools, take on new challenges, and expand your skills.If you’re looking for a role where your work has real impact and you get to build things properly, this could be a great fit.Apply now — we’d love to hear from you. AUD Osborne Park 6017

Data Engineer

We’re on the lookout for a Data Engineer who’s confident working across Azure and Databricks and enjoys building things properly from the ground up.

This is a hands-on role where you’ll be designing and maintaining modern data pipelines and playing a big part in how data moves through the business.

If you like solving real-world problems, improving how teams access and use data, and being part of a collaborative, forward-thinking team — we’d love to hear from you.

About the Role

  • Building and managing SparkSQL or PySpark pipelines in an Azure Data Lakehouse setup.
  • Using tools like Azure Data Factory, Data Lake Gen2, Databricks, and Synapse to bring together large data sets that are clean, reliable, and ready to use.
  • Working with stakeholders across the business, to understand what’s needed and help shape the data architecture to support it.
  • Keeping a close eye on pipeline performance, resolving any issues, and looking for ways to make things run better.
  • Making sure our data is secure across both cloud and on-prem platforms.
  • Keeping documentation up to date so everyone can follow how the system works.
  • Helping improve our DevOps approach, including CI/CD processes for data work.

What We're Looking For

  • Solid experience as a Data Engineer working with modern data tools and platforms.
  • Confidence with Azure services like ADF, Data Lake, Databricks, Synapse, and Azure SQL.
  • Strong SQL skills and some hands-on experience with Python.
  • Familiar with DevOps tools and practices, especially within the Azure environment.
  • Understanding of data warehousing concepts and know how to get messy data into shape.
  • Drive to take ownership of your work, ask good questions, and enjoy figuring things out.

Bonus Points For

  • Azure Data Engineer Associate certification.
  • Databricks accreditation or certification.
  • Experience with Power BI or other visualisation tools.
  • A background in analytics, BI, or similar data-focused environments.

Why This Role?

  • You’ll have influence – This isn’t a maintenance role. You’ll help design how our data systems work.
  • Plenty of variety – Cloud, on-prem, multiple teams — no two days will look the same.
  • Trusted to get on with it – We hire people for their capability and let them do what they do best.
  • Supportive team – Work with people who are collaborative, practical, and easy to get along with.
  • Room to grow – Learn new tools, take on new challenges, and expand your skills.

If you’re looking for a role where your work has real impact and you get to build things properly, this could be a great fit.

Apply now — we’d love to hear from you.

  • Posted Date 03 Jul 2025
  • Location Osborne Park
    WA / Australia
  • Industry Information & Communication Technology
  • Job Type Full Time
  • Salary Not provided