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Eclipse Trading

Proprietary trading with tech-driven strategies

Data Systems Team Lead

Data EngineeringConfirmed live in the last 24 hours
Full-timeSydney NSW, AustraliaNo salary listed

About the Job

Requirements

  • 10+ years of experience as a Data Systems Engineer delivering production data platforms, with 2+ years leading and mentoring engineering teams
  • Proven ability to design, scale, and optimize data pipelines and distributed systems in production
  • Deep data platform fundamentals, including batch and streaming processing, scalable table/metadata formats, object storage, and SQL
  • Hands-on experience building scalable ingestion and orchestration workflows, e.g., reliable scheduling, dependency management, backfills, and recovery
  • Experience with modern data architecture patterns and making tradeoffs across performance, reliability, and cost
  • Solid understanding of data storage and file/table lifecycle management
  • Ability to make architectural decisions across IT solutions, system design, and implementation—ensuring maintainability and extensibility
  • Demonstrated track record of improving reliability and operational excellence for data systems
  • Excellent stakeholder communication skills, with strong roadmap ownership and the ability to align engineering delivery with business needs
  • Ability to drive large-scale change while iterating safely—planning rollouts, learning from outcomes, and adjusting direction when required
  • University degree in Computer Science or a related discipline
  • Fluency in written and spoken English
  • Onsite role located in Hong Kong, Shanghai or Sydney (with authorization to work in Shanghai or Sydney)

Responsibilities

  • Build and lead a high-performance Data Systems Team, including mentoring and career development
  • Define and deliver Eclipse’s data platform roadmap, balancing business and technical priorities
  • Design and implement a centralized data framework and the supporting applications
  • Develop robust, maintainable, and high-performing data pipelines
  • Drive performance optimizations across both hardware and software for quant research and regulatory data retention
  • Manage, maintain, and expand dedicated hardware infrastructure for data systems
  • Ensure reliability, uptime, and effective capacity planning for data workloads
  • Partner with stakeholders across research, trading, and engineering to align data workflows with business needs
  • Standardize ingestion, schema management, lineage, permissions, and audit processes
  • Investigate upstream data sources, identify root causes of data issues, and implement sustainable corrective actions

Desired Qualifications

  • Prior experience in quant trading or financial services is highly desirable

About the Company

Eclipse Trading

Proprietary trading with tech-driven strategies

Eclipse Trading is a proprietary trading firm that develops and operates its own trading strategies across global markets. Its products are powered by in-house quantitative models and technology that support research, strategy development, and automatic trade execution across multiple asset classes. The company differentiates itself through its global footprint, multi-asset reach, and a tech-focused culture that relies on internal systems rather than external partners. Its goal is to generate alpha and grow wealth by applying data-driven, systematic trading across diverse markets and products.

Company size
51-200
Company stage
Not listed
Total funding
Not listed
Headquarters
Wan Chai District, Hong Kong
Founded
2007

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