IT & Telecomms
Data Engineer | Python | AWS
Location
Sydney
Job type
Permanent
Salary
120,000 - 300,000 AUD
Benefits
$120,000 to $300,000
Data Engineer | Trading & Data Platforms
Location: Sydney or Sunshine Coast, QLD, Australia
This is an opportunity to join a high-performing trading platform business expanding its engineering capability across Sydney and the Sunshine Coast.
The company is profitable, established, and scaling, with data at the core of how decisions are made. They are looking for a Data Engineer who enjoys building robust, high-throughput data systems that power real-world outcomes.
If you’re motivated by engineering quality, ownership, and seeing your work directly impact performance, this role will resonate.
The Role
You’ll design, build, and optimise data systems that deliver speed, reliability, and accuracy in a competitive trading environment.
Responsibilities include:
Experience Required The stack evolves with the problem. Current technologies include:
The Opportunity
This role offers the chance to work within a profitable, stable business that operates with a startup-style, performance-driven culture.
You’ll be given:
Relocation support and sponsorship are available for this position.
If this sounds of interest, please apply for immediate consideration.
Location: Sydney or Sunshine Coast, QLD, Australia
This is an opportunity to join a high-performing trading platform business expanding its engineering capability across Sydney and the Sunshine Coast.
The company is profitable, established, and scaling, with data at the core of how decisions are made. They are looking for a Data Engineer who enjoys building robust, high-throughput data systems that power real-world outcomes.
If you’re motivated by engineering quality, ownership, and seeing your work directly impact performance, this role will resonate.
The Role
You’ll design, build, and optimise data systems that deliver speed, reliability, and accuracy in a competitive trading environment.
Responsibilities include:
- Designing and scaling data pipelines supporting analytics and predictive models
- Building and maintaining data platforms, tooling, and infrastructure
- Ensuring data quality, observability, and reliability across production systems
- Working closely with software engineers and quantitative teams to enable data-driven decision-making
- Owning data problems end-to-end, from ingestion through to production use
Experience Required The stack evolves with the problem. Current technologies include:
- 3+ years building and shipping production-grade data systems
- Languages: Python, SQL (experience with Rust or Java beneficial)
- Data & Workflow: Prefect or similar orchestration tools
- Infrastructure: AWS, Kubernetes, Docker
- CI/CD & Tooling: GitHub, Buildkite
- Strong understanding of data modelling, pipeline design, and performance optimisation
- Degree in Computer Science, Engineering, Information Systems (or similar)
- Strong ownership mindset - accountable for outcomes, not just tasks
The Opportunity
This role offers the chance to work within a profitable, stable business that operates with a startup-style, performance-driven culture.
You’ll be given:
- Autonomy and trust to design and improve systems
- Exposure to complex, real-world data challenges
- The opportunity to learn from experienced engineers and quantitative specialists
- Clear visibility into the impact of your work
Relocation support and sponsorship are available for this position.
If this sounds of interest, please apply for immediate consideration.
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Jonathan Spragg
Director & Co-Founder
Technology Leadership & Senior Appointments
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