AI Data Engineer - Databricks & Gen AI Pipelines

DuluxGroup; City of Melbourne; On-site; AUD 110,000 - 170,000; Full time

Benefits offered by this job

Health extras allowance

Staff discounts

Fitness Passport

Parental leave 20 weeks (primary care)

Learning & development

Wellbeing & EAP

Job summary

DuluxGroup in Melbourne is seeking an AI Data Engineer to shape how AI integrates into our data ecosystem. You’ll build scalable, high-quality data products and pipelines on our Databricks platform, collaborating with data scientists, analysts and platform engineers to deliver trusted AI-ready data assets.

You’ll focus on data quality, governance, security and performance, while advancing best-practice engineering standards and driving innovation across our data & AI initiatives in a fast-paced,

Qualifications

• Proven Data Engineer with SQL and Python development skills.
• Hands-on experience building data pipelines on Databricks or Spark.
• Exposure to ML analytics or generative AI use cases.
• Knowledge of cloud tech, data modelling, Lakehouse, CI/CD and automation.
• Strong problem solver with cross-team collaboration.

Responsibilities

• Build and maintain scalable, AI-ready data assets and pipelines.
• Collaborate with data scientists, analysts and platform engineers.
• Ensure data quality, governance, security and performance on Databricks.
• Establish best-practice engineering standards and drive improvement.

Skills

SQL

Python

Data pipelines

Collaboration

Delivery focus

Problem solving

Tools

Databricks

Apache Spark

Job description

DuluxGroup in Melbourne is seeking an AI Data Engineer to shape how AI integrates into our data ecosystem. You’ll build scalable, high-quality data products and pipelines on our Databricks platform, collaborating with data scientists, analysts and platform engineers to deliver trusted AI-ready data assets.

You’ll focus on data quality, governance, security and performance, while advancing best-practice engineering standards and driving innovation across our data & AI initiatives in a fast-paced,