You won’t be inheriting Derek’s old data pipelines.

No, not Susan’s S3 buckets either.

And you won’t have to endure Alan’s “future of AI” monologues.

This is a creative SaaS-style environment with around 200 people globally.

Their platform hosts hundreds of thousands of proprietary content assets, and they’re ready to do more with their data.

You’ll be their first dedicated Data Engineer—setting the foundations for what great looks like.

Until now, software engineers have been patching things together. That’s worked—for a while.

But now there’s a significant two-year slate of work across infrastructure, analytics, and data products.

That’s where you come in.

They’re also hiring an AI Engineer to drive ML strategy, and with a small team, you’ll be plugged into that side of the business too.

Your first mission: stabilize and evolve the AWS-based data warehouse to power financial reporting and analytics—directly supporting the CFO.

Your toolbox might include:
• Python, SQL, DBT
• Redshift, Glue, S3
• Airflow (or similar orchestration tools)

What they’re looking for:
• A stable resume
• 5+ years in Data Engineering (Python, SQL)
• Depth in both foundational and modern data engineering techniques

They run a hybrid setup and need someone Sydney-based (office in Surry Hills).

Expect to join in-person sessions a few times each month for whiteboarding and collaboration.

To learn more, email your CV to [email protected]