Summary
✨ AI‑Generated
Join a high-impact data engineering team responsible for large-scale data collection, storage, access, and query infrastructure. You will operate and evolve distributed systems and data processing platforms, automate deployments, strengthen CI/CD, monitor reliability, and troubleshoot complex infrastructure issues. The role offers close collaboration across systems, networking, software development, and demanding technical users.
Highlights
Own reliability and evolution of large-scale data collection, storage, access, and query platforms. The role combines distributed systems operations, automation, CI/CD, troubleshooting, and close collaboration with engineers and technical users, with broad regional exposure.
Description
Join our dynamic and high-impact Data Engineering team, where you'll be responsible for our large-scale data collection, storage, access and query platforms.
The work includes the safe and reliable operation of the platform, as well as projects to evolve and expand the capabilities.
This is a critical role in the organisation as the data platform drives a huge range of trader analysis, simulation, reporting and insights.
You will join a growing team of four in Sydney which is part of the larger APAC Data Team, and will collaborate with counterparts in Chicago, Mumbai and Amsterdam.
Your Core Responsibilities
Manage and monitor distributed systems, storage infrastructure, and data processing platforms, including Kafka, HDFS, Dremio, and in-house data pipelines.Drive heavy focus on systems automation and CI/CD to enable rapid deployment of hardware and software solutions.Collaborate closely with systems and network engineers, traders, and developers to support and troubleshoot their queries.Stay up to date with the latest technology trends in the industry; propose, evaluate, and implement innovative solutions.
Your Skills And Experience
2+ years of experience in managing large-scale multi-petabyte data infrastructure in a similar role.Knowledge of Linux system administration and internals, with proven ability to troubleshoot issues in Linux environments.Experience in at least one of the following technologies: Kafka, HDFS, Kubernetes.Working knowledge of Docker, Kubernetes, and Helm.Experience with data access technologies such as Dremio and Presto.Familiarity with workflow orchestration tools like Airflow and Prefect.Exposure to cloud platforms such as AWS, GCP, or Azure.
About Us
IMC is a global trading firm powered by a cutting-edge research environment and a world-class technology backbone.
Since 1989, we’ve been a stabilizing force in financial markets, providing essential liquidity upon which market participants depend.
Across our offices in the US, Europe, Asia Pacific, and India, our talented quant researchers, engineers, traders, and business operations professionals are united by our uniquely collaborative, high-performance culture, and our commitment to giving back.
From entering dynamic new markets to embracing disruptive technologies, and from developing an innovative research environment to diversifying our trading strategies, we dare to continuously innovate and collaborate to succeed.
