Core Data Engineer

Flow Traders·Hong Kong·onsite
crypto:applicationengineeringIC4Data
Compensation
Not disclosed
Flow Traders is seeking a Core Data Engineer with a distinct focus on real-time analytics solutions. In this role, you will be responsible for owning the end-to-end lifecycle of our most critical data products that bring low-latency analytical capabilities to end users.You will be the architect and executor of the blueprint for these real-time data products, enhancing our Data Platform to develop and monitor automated pipelines. Your goal is to ensure that stakeholders across the organization have immediate access to reliable data whenever it is needed. You will further become an expert in these dynamic data sets—drawing from sources such as market data, network traffic and application logs—to optimize their use and explore additional sources for unlocking value in real time. Collaboration is key, and you will consistently engage with teams across Flow Traders to ensure that our systems are designed with real-time data considerations at their core. Streamlining workflows related to data, and working with stakeholders, you will maximize the impactful insights drawn from real-time analytics. As the steward of our most vital real-time data products, you will be uniquely positioned to influence Flow Traders' operations. Your accountability will lie in delivering these data products at exceptional quality—with a focus on low latency—to drive future growth. Ultimately, your work will provide substantial, real-time benefits felt across all divisions daily, laying one of the most crucial foundations for the firm's strategic expansion in the years ahead. What you will do: Accountable for timely and high-quality delivery of core data products to the rest of the organization: Market Data, Trades/Orders/Quotes/Inquiries, Application Logs with a specific focus on low-latency analytics Develop and own the end-to-end lifecycle of these data products: build and maintain pipelines, develop quality checks, correct day-to-day issues, and systematize/automate manual processing ste