Data Engineer - Samsara Eco

“BE THE CATALYST THAT DRIVES REAL CHANGE FOR OUR PLANET.”

Samsara Eco has one clear mission: to repair our planet through infinite plastic recycling. Yes, it’s a mighty mission but it’s something every single one of us here at Samsara Eco is determined to achieve. And it’s what motivates us to dedicate our time and energy to every single day.

Our technology is like our team. One of a kind. And we know that, so while we are creating technology to repair our planet, we’re also building a great place to grow careers. A place where everyone can do the best work of their life, making meaningful impact on our planet and ourselves.

WHO WE ARE...

We’re a biotech innovator with a mission that actually matters. We’re taking the 10 billion tonnes of plastics and textiles wasting away in landfill and recycling it – infinitely – to create a truly circular loop for packaging, clothing, airbags, and everything in between.

It means the brands people love can keep making the products they rely on, without the environmental cost. By using what we already have, we can break the world’s dependence on fossil fuels and leave a liveable planet for the generations coming after us.

This isn’t just a job. This is the work that matters most right now.

This role is based in Jerrabomberra, on the border of NSW/ACT approx. 30 mins from Canberra CBD

All candidates must have a valid visa for Australia - Sponsorship is unavailable for this role

Role Purpose

As Data Engineer, you will join the Data Platform team to support the development of Samsara’s Industrial AI Platform, collaborating with science, engineering, and computation teams across experiments, process modelling, and production data. You will develop pipelines to ensure all data sources are flowing into the Data Platform, connecting experiment platforms, analytics instruments, computation outputs, production line data, and other priority sources into reliable, observable and scalable ingestion workflows.

Responsibilities Data Ingestion and Pipelines

• Build and maintain ingestion pipelines from ELN, SharePoint, Laboratory Instruments, physics-simulations, production line, and process engineering sources into the Data Platform.
• Support live ingestion of production lines and process data, including data historian integration.
• Ensure ingestion processes preserve source context, timestamps, identifiers and provenance.
• Partner with instrument owners and analytics teams to connect key laboratory instruments to the data platform.
• Support lab uplift and automation efforts, including barcode, inventory tracking, and calibration of workflow data capture.

Reliability and Collaboration

• Design pipelines that are observable, testable, and easy to maintain as source systems evolve.
• Collaborate Data Team to ensure raw data can be transformed into trusted production-layer datasets.