Senior Data Engineer

Zipline.io

Melbourne

Hybrid

AUD 120,000 - 150,000

Full time

2 days ago
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Benefits offered by this job

Solid package, plus stock options
Workload ownership and autonomy
New Mac or PC
Free psychology sessions
Recharge days after intense work
Team offsites including Bali</name>
Access to 200+ Kindle books
Monthly fitness budget

Job summary

Zipline is building the data platform to power its next growth phase in healthcare AI. The role focuses on connecting systems, modeling data, and delivering reliable data foundations for teams and AI usage.

You will design data pipelines, implement storage improvements, and ship production code while collaborating with engineers and users across Zipline.

Qualifications

  • Experience building production data or backend systems that others rely on.
  • Ability to query and model data, write code and test assumptions.
  • Experience with data warehouses or data lakes helps.
  • Demonstrated data governance and reliable design decisions.

Responsibilities

  • Connect data across customer, finance and operations systems with clear definitions and traceability.
  • Design and build data pipelines, integrations and reusable models; optimize storage decisions.
  • Write and test production code; investigate discrepancies and edge cases for reliability.
  • Create reports and dashboards to help teams answer real questions and support AI.
  • Contribute to data foundations enabling consumption-based pricing.

Skills

Data modeling
Data pipelines
SQL
Production systems
Power BI
BigQuery
Python

Tools

Power BI
BigQuery
Python

Job description

Help shape the data platform behind Zipline’s next stage of growth.

Salary: $120,000 - $150,000 + Super
Based: Melbourne (Preferred), Sydney / Perth (Hybrid), or Rest of AU (Remote)

We build AI software for Australian healthcare and aged care organisations, helping keep vulnerable people safe. As we grow, we want to make better use of the information across our business: to understand our customers, support day-to-day decisions and give AI reliable context to work with.

Our stack today includes Power BI and BigQuery. This is not a status quo data role. You’ll shape what comes next, and build it: connecting our systems, exploring the right warehouse and data‑lake architecture, and making that data useful to people and AI.

The opportunity

A big part of the role is creating a shared context layer across our internal systems. That means connecting records about the same customer, making the relationships between data clear and agreeing what important measures mean. The goal is to give our teams and AI consistent information they can use across systems.

There’s important design decisions to make, from how we bring data together to how we make it available.

What you’ll work on
  • Connect data across customer, finance and operational systems so it can be used together, with clear definitions and a way to trace it back to its source.
  • Pragmatically design and build data pipelines, integrations and reusable models. Improve how we store and organise data, with practical choices about what to keep and what to change.
  • Write and test production code, investigate discrepancies and handle edge cases so the systems stay dependable as they grow.
  • Build reports and dashboards that help people answer real questions. Most of the role supports teams inside Zipline, with some overlap on customer‑facing data projects.
  • Build the data foundations to support new consumption‑based pricing options as Zipline grows.

You’ll work closely with engineering and the teams using / generating the data. Together, you’ll agree on the problem and what a useful result looks like; you’ll then take the work through design, implementation and delivery. Success means people can use the systems you’ve built, understand the numbers and rely on them, with a stronger foundation for the next project.

About you
  • You’ve built reliable production data or backend systems. You can explain your design decisions, what you personally delivered and what happened once people started using it.
  • You’re comfortable querying and modelling data, writing code and testing your assumptions. You can trace how data moves through a system and test whether the results make sense.
  • You can move between the bigger design and the implementation details. You’re practical about improving existing systems and learning new tools.
  • You ask good questions, explain technical choices clearly and take responsibility for delivering something useful.

Experience developing a warehouse or data lake, connecting business systems, or making data easier to use across teams would be valuable. We care more about your engineering judgement and ability to deliver than a match to every tool we use.

What’s on offer
  • Solid package, plus you’ll get company shares (stock options)
  • You’re in control of your workload and approach
  • A new Mac or PC
  • Free psychology sessions
  • Recharge days after periods of intense work
  • Regular Team offsites, inc. a major one in Bali each year
  • Access to 200+ books in our team Kindle account
  • Monthly fitness budget
Why Zipline?

Rapid (profitable) growth: lots of learning and career opportunities as we scale.

Genuine impact: the work you do with our tech, keeps vulnerable people safe.

AI-native thinking: we're leading the AI conversation with healthcare CEOs.

No games or politics: awesome team & genuinely supportive culture.

Working at Zipline

No Fluff.. What's it REALLY like to work here?
At our last offsite, we asked everyone at the company, below are their top themes:

1) High Performance AND High Care
“Yes! They can both co-exist!”
Nearly everyone mentioned the \"feeling\" in the team - warmth, humility, absence of ego, and deep respect for one another. Many noted how rare it is to be in a place where they can both perform at a high level and genuinely like the people around them.

2) Radical Transparency & Alignment
“Here there is extreme clarity, ownership and honesty.”
“Seeing our goals align between snr leadership, investors and the whole team - wow that's rare”

3) Trusting our special sauce; Consistency Over Hype
“It's clear our snowballing of success isn't knee jerking to shiny ideas, but sticking to our 'unique algorithms in disciplined execution"
Many noted the calm confidence that comes from knowing how we keep trusting and refining our frameworks and systems work - then \"the machine keeps spitting out great stuff.\"

4) Everyone lives the Innovation Mindset
No rigid structures. Everyone owns innovation, not just engineering.
Here we uniquely work in hyper cross functional teams - so you'll see the real-world impact of your work.

5) Confidence in the Future
The mood across all team members is deeply optimistic. People believe in the company's mission, trajectory, and ability to execute.
“The proof is already there - we just keep doing what we are doing.”
“It's not luck; it's alignment, consistency, and heart.”

If you enjoy shaping a solution and staying with it until it works for the people who need it, we’d love to hear from you.

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