Data Infrastructure Engineer

vor 2 Wochen

Council of the City of Sydney, Österreich Life Trading Vollzeit

Life Trading Pty Ltd is a growing proprietary trading company with offices in Australia and the UK. We are driven by a mission to achieve success in trading by leveraging cutting-edge technology and embodying our core values. Our team consists of passionate experts, and we believe in accountability and excellence from all of our employees. Our culture is relaxed, prioritising trust, fairness, and respect. We believe in enjoying work, feeling rewarded for dedication, and having time for life outside of work. About the Role You’ll be joining the team as a Data Infrastructure Engineer , playing a key role in architecting and maintaining a hybrid on-premises and cloud-based data platform. The systems you build will ingest, store, and serve large amounts of financial data—reliably and with low latency. Your work will directly support trading, research, and operations by ensuring data is accurate, timely, and accessible. This role blends data engineering and infrastructure engineering, focusing on performance, scalability, automation, and availability. Your Mission at Life Trading Data Architecture & Engineering: Design and build scalable, high-performance data infrastructure across on-prem and cloud. Develop real-time and batch-oriented data pipelines for market data ingestion. Integrate and manage data from internal systems and external vendors with a focus on reliability and quality. Implement best practices around data governance, access control, monitoring, and observability. Collaborate with traders, researchers, and developers to align data systems with business needs. Automate infrastructure provisioning and deployments using modern DevOps and IaC tools. Assist and mentor others working on data pipelines and orchestration. Support & Reliability: Provide production support, including out-of-hours assistance when needed. Continuously improve system observability, monitoring, and alerting. Ensure high availability and disaster recovery for mission-critical data services. Other: Follow and apply company values, policies, and trading regulations. Take on additional tasks as required. Report to the Head of Infrastructure/Data. What We’re Looking For Degree in Maths, Engineering, Computer Science, or comparable experience. Strong understanding of distributed systems, data storage (e.g. S3, columnar stores), and streaming technologies (e.g. Kafka). Proficiency with Linux, networking, and performance tuning. Cloud platform experience (AWS, GCP). Proficiency in Python, Go, or Java. SQL and data modelling skills. Experience with Kubernetes, Docker, and infrastructure as code. Familiarity with orchestration tools like Airflow or Dagster. Strong communication skills and fluency in English. A passion for continuous learning. Bonus Points For ✅ Experience with trading or financial market data systems. Experience working in a small, agile team. Ability to work autonomously and take ownership. Experience with observability tools (Prometheus, Grafana). Familiarity with modern data formats (Delta Lake, Apache Iceberg). Exposure to Data Lakehouse architectures. A Bit About the Team

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