Software Engineer (Data) at Open Roles at VivCourt

Sydney, New South Wales, Australia -

Full Time

Start Date

Immediate

Expiry Date

20 Aug, 26

Salary

0.0

Posted On

22 May, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Go, C++, Relational Databases, Time-series Databases, Linux, Networking Protocols, Data Pipeline Design, Data Modeling, Workflow Orchestration

Industry

Executive Offices

Description

Your role: Data is what drives research and trading at VivCourt. It spans everything from system health metrics and fine-grained events deep within our trading infrastructure, to financial market data and the audit trails that support our business. Our Data Engineering team are the stewards of this critical infrastructure, ensuring the data at the heart of VivCourt’s operations is captured, retained, and delivered reliably at scale. As an engineer in the team, you will help design, build, and support the systems that make this possible. Your responsibilities will include: Creating and maintaining real-time data pipelines that process billions of events per day. Developing and supporting a bespoke set of tools and frameworks that bolster our R&D efforts. Improving the accuracy and completeness of data through automated processes Designing and maintaining data models to make complex datasets accessible Managing the orchestration and scheduling of data workflows, (research) jobs, and dependencies at scale Collaborating with teams across the business to ensure they have the information and tools they need. This is an opportunity to work on high-scale, high-impact systems that support decision-making across research, trading, engineering, and the wider business. Who We’re Looking For An Engineer who thrives in high-performance environments 5+ years in professional environments, ideally in a smaller company or fast-moving teams Pragmatic, evidence-driven, and focused on outcomes Enjoys working closely with users and building systems that get used Trading or financial systems experience is a plus, not a requirement Shows technical leadership through ownership, sound judgment, and lifting the capability of others. Skills & Experience Advanced proficiency with Python, Go or C++ Experience with relational and time-series databases. Proficiency developing and deploying software in a Linux environment Exposure to networking concepts and protocols. Nice to have: experience working with data scientists and/or quants

Responsibilities

Design, build, and support high-scale real-time data pipelines and bespoke tools to support research and trading. Manage data models and orchestrate complex data workflows to ensure reliable delivery of critical infrastructure data.