Senior Data Engineer

Picture this: you're a procurement director at a major company, and someone asks you a simple question.

"Can you guarantee there's no forced labor in your supply chain?"

The pause isn't hesitation. It is calculation. You are running through years of contracts, supplier data from every corner of the globe, and compliance requirements that change almost as fast as the news cycle. The reality? You are dealing with one of the most complex challenges in business today, often with tools that were never designed for this level of scrutiny.

Your team is sharp, your processes are diligent, but the visibility you need to be certain? That's the missing piece. And with regulators, executives, and stakeholders all expecting clear answers, it's no longer enough to piece things together from scattered systems and outdated reports.

That's where we come in.

Fair Supply has built a platform that shows companies what's happening in their supply chains. Modern slavery, emissions, biodiversity destruction. We make the invisible visible. Not just surface level compliance, but real intelligence that helps procurement teams make confident decisions.

Why we're hiring now

We have got customers who love what we've built, and they're not just buying because they want to, but because there are also significant regulatory tailwinds behind the problem we are solving that requires our solution for compliance. New ESG regulations are hitting enterprise companies across Australia and New Zealand, and the compliance deadlines aren't moving.

This is not a maybe someday problem. It is a "we need this solved by Q2" problem. Which means you'll be building tech that customers need right now. You'd be joining at the exact moment when everything's starting to click.

This is a
Senior Product Data Engineer
role where you'll own complex builds, bridge data science with product engineering, and work with some of the most interesting data problems in tech. You won't be following someone else's architecture - you'll be designing it.

The learning curve is real. You'll need to get smart on graph databases, agentic AI, and proprietary data models fast. But here's the payoff: you'll become an expert in emerging tech that's reshaping how companies understand their operations.

What you'll do

• Build with bleeding-edge AI
  : You'll work with LangGraph, langchain, and other agentic frameworks to create AI-powered functionality that actually solves real problems.
• Master complex data architectures
  : Think Neo4j graph databases, custom data models, and multi-layered systems that handle massive volumes of unstructured ESG data.
• Bridge teams that speak different languages
  : You'll translate between data scientists who think in models and product engineers who think in features.
• Own full-stack builds
  : These aren't simple CRUD apps. You're building data-heavy, multi-layered products that customers depend on for compliance.
• Ship to production
  : Your code will power real AI systems that help companies make confident decisions about their supply chains.
• Level up the team
  : Share knowledge, lead by example, and help evolve how we work as we scale.

You'll love this if you…

• Know data engineering inside out
• You've built and shipped ML pipelines and complex data systems to production
• Thrive with emerging tech
• Graph databases, agentic AI, and bleeding-edge tooling excite you instead of intimidating you
• Think in systems
• You understand how data flows through applications and can optimize for performance at scale
• Communicate clearly
• You can explain complex technical concepts to designers and product people
• Have startup experience
• You've worked in environments where you had to figure things out, not just follow documentation
• Use AI as a tool
• You already integrate AI into your development workflow and see it as a productivity multiplier
• Bonus points if you've worked with Neo4j, , or AWS SageMaker.

What working here feels like

You'll join a team that's figured out something rare - they know how to be deeply ambitious about the work while staying genuinely kind to each other. People here want to do great work, but egos don't run the show. When someone hits a rough patch, colleagues show up to help instead of disappearing after offering vague support.

You get real autonomy to make decisions and own your work. No micromanaging, no endless approval chains. Leadership keeps everyone in the loop about what's happening, both the good news and the challenging stuff.

The work matters in a measurable and tangible way. We're helping companies tackle modern slavery, emissions, and biodiversity destruction. It's energising to wake up knowing your efforts are making a real difference in the world.

We're not perfect. We're still building and figuring things out as we go. But we've got clear focus, customers who genuinely love what we've built, and the kind of momentum that makes you excited about what's possible. Plus, people here know how to celebrate wins together and laugh when things get messy, which they inevitably do.

Ready to build the future of supply chain intelligence?

This is your chance to join a company solving real problems at exactly the right moment. You'll help shape our technical architecture and engineering culture. You'll work alongside brilliant people on meaningful work. And you'll help build the global standard for supply chain transparency.

If you've read this far thinking "This sounds like the challenge I've been waiting for" - let's talk.

Apply Now or reach out directly. We'd love to meet you.

Fair Supply is building a team that reflects the diversity of the communities we serve.