Who We AreAt OKX, we believe our future is reshaped with technology. Founded in 2017, OKX is one of the world's leading cryptocurrency spot and derivatives exchanges. OKX innovatively adopted blockchain technology to reshape the financial ecosystem by offering some of the most diverse and sophisticated products, solutions, and trading tools on the market. Trusted by more than 20 million users in over 180 regions globally, OKX strives to provide an engaging platform that empowers every individual to explore the world of crypto. In addition to its world-class DeFi exchange, OKX serves its users with OKX Insights, a research arm that is at the cutting edge of the latest trends in the cryptocurrency industry. With its extensive range of crypto products and services, and unwavering commitment to innovation, OKX vision is a world of financial access backed by blockchain and the power of decentralized finance.We invest in our people as much as we invest in technology. We are united by our engaging culture, here we win as a team, embrace changes, and do the right thing. We are committed to creating a friendly, rewarding and diverse environment for OKers. It doesn't matter where you come from, here everyone feels valued, respected and has the same opportunities to develop and thrive — we want to bring out the best in you.About the OpportunityQuant Platform provides cutting-edge technology that covers all aspects of crypto trading. We build low-latency connectivity to global crypto venues, strategy services for automated pricing and trading bots, high-frequency data capturing and analysis, and state-of-art micro frontend for trading management.We are looking for a Data Engineer who enjoy tackling challenges in evolving data architecture, from building high frequency market data pipelines to data services, propelling and supporting our data-driven trading initiatives.What You'll Be Doing:Lead and work on a large and complex data platform with a particular focus on high-frequency timeseries data, private data, realtime analytics and historical data accessOwn and work on projects and components across data architecture – capturing, cleaning, monitoring, warehousing, analysing and providing APIApply strong analytical and technical skills in analysis, cleaning, modelling and visualization of large datasetsClosely partner with various teams of trader, quant research and quant developerBe creative and be able to identify technical gap and improve workflow efficiency, coverage and quality of our solutionWhat We Look For In You: Solid STEM (Science/Technology/Engineering/Mathematics) education background.Strong knowledge of programming in Python and/or JavaStrong experience in timeseries and relational databaseExperience working in a POSIX environmentNice to Haves:Experience with crypto and/or financial productsExperience in dealing with intraday, tick or order book dataExperience in container technology (e.g. Docker)Experience in middleware (e.g. kafka) and data frameworks (e.g. spark/pyspark)Experience in on-chain data capturing and analysisExperience in using cloud platform (e.g. AWS)Experience in data-warehouse and/or data-lake solutionsExperience in K8sExperience in performing data analysis in dataframe, Pandas/Arrow/PolarsExperience working with systematic trading or high frequency tradingExperience in Rust/C++Perks & BenefitsCompetitive total compensationComprehensive insurance coverage for employees and their dependantsMore that we love to tell you along the process!#LI-GL1
