Python Data Engineer

Tribus; Sydney; Presencial; AUD 130 000 - 190 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Direct impact

Career growth

Strong engineers

Competitive pay

Global collaboration

Resumo da oferta

Tribus is hiring a data-focused Python Engineer in Sydney to design and maintain Python-based services that handle large-scale data processing. You’ll build scalable pipelines, work with real-time data streams, and collaborate with global teams to improve operational efficiency.

The role offers ownership, direct business impact and opportunities to work with leading data technologies in a highly technical environment.

Qualificações

• Experience with large-scale data processing systems.
• Exposure to modern data technologies (e.g., Spark, Databricks).
• Strong problem-solving skills and a hands-on engineering mindset.
• Experience in data-rich, complex environments.

Responsabilidades

• 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

Conhecimentos

Python

Data processing

Problem solving

Distributed systems

Ferramentas

Spark

Databricks

Descrição da oferta de emprego

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.