Data Engineer: Cloud Pipelines for AI-Ready Analytics

TechnologyOne; Brisbane; On-site; AUD 110,000 - 150,000; Full time

Benefits offered by this job

Competitive remuneration package

Employee share plan

Salary packaging options

Up to 10 days of additional leave via

Volunteer leave allowances

On-site gym and breakfast

Job summary

TechnologyOne in Brisbane is seeking a Data Engineer to design, build and maintain scalable data pipelines, models and platform capabilities across ERP, CRM and core systems. You will replace manual extracts with reliable data infrastructure, enhancing data quality, governance and performance.

You will work with Analysts and stakeholders to translate data needs into secure, high-performing engineering solutions on the Databricks platform, using Python, Spark and SQL to deliver trusted AI-ready

Qualifications

• Experience designing and building scalable data pipelines and models.
• Hands-on Databricks experience on AWS/Azure and Unity Catalog.
• Strong Python, Spark and SQL for ETL and analytics.
• Knowledge of data governance, security and de-duplication in large ecosystems.

Responsibilities

• Design and build reliable data pipelines and models that support operational and analytical needs.
• Shape the data platform by extending Databricks on a cloud basis.
• Implement scalable ingestion patterns aligned to security and access controls.
• Troubleshoot and optimize pipelines for performance and cost.

Skills

Databricks

Python

Spark

SQL

Data pipelines

Data governance

Terraform

CI/CD

Git/Bitbucket

Tools

Databricks Unity Catalog

AWS

Azure

Git

Bitbucket

Job description

TechnologyOne in Brisbane is seeking a Data Engineer to design, build and maintain scalable data pipelines, models and platform capabilities across ERP, CRM and core systems. You will replace manual extracts with reliable data infrastructure, enhancing data quality, governance and performance.

You will work with Analysts and stakeholders to translate data needs into secure, high-performing engineering solutions on the Databricks platform, using Python, Spark and SQL to deliver trusted AI-ready