About Bullish Bullish is an institutionally focused global digital asset platform that provides market infrastructure and information services. These include: Bullish Exchange – a regulated and institutionally focused digital assets spot and derivatives exchange, integrating a
Work on modern data platforms and GenAI-driven solutions Hands‑on exposure to RAG, Spark, and cloud data engineering About Our Client Our client is a well-established organization within the business services industry, recognized for its commitment to
Responsibilities Partner with business and technology stakeholders to understand data requirements and translate them into scalable data solutions. Design, develop, and maintain robust data models that support analytics, reporting, and business intelligence initiatives. Build and optimize
About Bullish Bullish is an institutionally focused global digital asset platform that provides market infrastructure and information services. These include: Bullish Exchange – a regulated and institutionally focused digital assets spot and derivatives exchange, integrating a
Bullish is an institutionally focused global digital asset platform that provides market infrastructure and information services. These include: Bullish Exchange - a regulated and institutionally focused digital assets spot and derivatives exchange, integrating a high-performance central
Join Our Business Intelligence Team Were looking for a talented Business Intelligence (BI) Analyst to join our growing BI team. In this role, youll work closely with Product, Operations, Payment, Finance, Risk, and Data Engineering to
Your new company Our client is a well-established organisation currently undergoing a major data and AI-driven transformation journey. As part of their continued investment in analytics capabilities, they are looking for a Data Analytics Manager to
Our Technology Consulting practice helps clients navigate their most complex digital and technology transformations from shaping enterprise technology strategy, to modernising data and AI capabilities, to redesigning IT operating models fit for the next decade. Working
Join Our Business Intelligence Team Were looking for a talented Business Intelligence (BI) Analyst to join our growing BI team. In this role, youll work closely with Product, Operations, Payment, Finance, Risk, and Data Engineering to
We are seeking a dynamic and analytical individual to join our team as a Data Engineer. If you are passionate about building robust pipelines, transforming raw data, and leveraging modern cloud tools to deliver powerful visualizations,
Responsibilities Partner with business and technology stakeholders to understand data requirements and translate them into scalable data solutions. Design, develop, and maintain robust data models that support analytics, reporting, and business intelligence initiatives. Build and optimize
大禹數據成立於2024年，總部位於香港科學園，並在深圳設有分部，致力於打造面向 AI 時代的新一代數據基礎設施平台。主營業務/產品：大禹專注於實時數據基礎設施、湖倉一體平台以及企業 AI 數據底座的研發。 目前公司核心產品包括： Yangtze（長江）——100%兼容 Kafka 協議的實時數據流平台，幫助企業實現海量數據的實時採集、傳輸與處理 TAI Lakehouse（太湖）——面向 AI 時代的湖倉一體平台，提供統一的數據存儲、計算、治理與分析能力；未來還將進一步構建企業級 AI 基礎設施，幫助企業實現從數據到 AI 應用的全鏈路能力建設。 所屬賽道： 公司位於當前全球最熱門的 AI Infrastructure、Data Infrastructure、Real-time Data（實時數據）以及Lakehouse（湖倉一體）賽道。這一領域已經誕生了 Snowflake、Databricks、Confluent 等數百億美元市值級別企業，並被廣泛認為是 AI 時代最具潛力的基礎設施方向之一。 (1). Proficient in operating Mac OS, Windows, and Linux operating
We are seeking a dynamic and analytical individual to join our team as a Data Engineer. If you are passionate about building robust pipelines, transforming raw data, and leveraging modern cloud tools to deliver powerful visualizations,
TekiSpire Limited in Hong Kong is seeking an experienced Data Engineering Manager to lead the regional data engineering team. You will own the data platform lifecycle, coordinate across analytics and QA, and ensure scalable, secure pipelines
Data Engineering Manager | Regional Role | Perm | 55-65k Functions Data Engineering/Analytics/Science City Hong Kong An experienced Data Engineering Manager is sought for a market leader in their sector, joining their regional data engineering team