Python Data Engineer
Tribus is recruiting for a technology-driven trading firm in Sydney: a data-focused Python engineer who builds scalable data pipelines, backend services, and operational tooling on large-scale data platforms supporting global trading and investment activities. Core tech is Python with distributed data frameworks like Spark/Databricks.
- Compensation
- Not disclosed
- Location
- Sydney, Australia
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Data engineering
- Posted
Skills
Must have
- Experience working with large-scale data processing systems
- Exposure to modern data technologies such as Spark, Databricks or similar distributed computing frameworks
- Strong problem-solving skills and a passion for hands-on engineering
- Experience working within complex, data-rich environments
Nice to have
- Experience supporting operational, data, risk or control-related workflows
- Exposure to trade lifecycle, transaction processing or large-scale operational platforms
Full description
We're working with a leading technology-driven trading firm that is hiring a Data focused Python Engineer for a business-critical engineering function.
This is an opportunity to join a highly collaborative team responsible for building and maintaining large-scale data platforms, operational tooling, and business-critical systems that support global trading and investment activities.
The Role
You will work on complex data-intensive problems, building scalable backend services and data processing solutions that help the business manage, analyse, and act on large volumes of information in real time.
The role offers significant ownership, close collaboration with global stakeholders, and the opportunity to contribute to systems that directly impact business operations.
Responsibilities
- Design, develop and maintain Python-based applications and services
- Build scalable data processing pipelines and backend systems
- Work with large, complex datasets to generate insights and improve operational efficiency
- Develop tooling and automation to support critical business workflows
- Collaborate with engineering, operations and business stakeholders globally
- Contribute to the architecture and evolution of core data platforms
Requirements
- Experience working with large-scale data processing systems
- Exposure to modern data technologies such as Spark, Databricks or similar distributed computing frameworks
- Strong problem-solving skills and a passion for hands-on engineering
- Experience working within complex, data-rich environments
Your Background
- Experience supporting operational, data, risk or control-related workflows
- Exposure to trade lifecycle, transaction processing or large-scale operational platforms
What's on Offer
- Highly technical engineering environment
- Direct business impact and visibility
- Strong career progression opportunities
- Competitive compensation structure
- Opportunity to work alongside some of the strongest engineers in the market
If you're a data-focused Python Engineer who enjoys building scalable systems and solving complex technical challenges, we'd be keen to have a confidential conversation.