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Data Lead or Senior Data Engineer responsible for building data applications, maintaining data quality, and implementing AI/GenAI solutions. Key technologies include Python, Spark, Node.js, AWS/Azure, and Kafka.
Senior Data Engineer responsible for migrating PostgreSQL workloads to AWS (RDS, Aurora, DMS) for a major banking project. The role involves database assessment, executing migration strategies, and ensuring data integrity and performance optimization within a highly regulated financial environment.
Join a greenfield Financial Crime technology transformation programme and help build a next-generation AML platform from the groun Work with modern technologies including Java, Kafka, Microservices, Cloud, Kubernetes,…
Must-have criteria Minimum 5 years of work experience, ideally close to 10 years of technical engineering experience Open to any background, but preferably also from insurance Solid in JAVA and/or cloud environment…
As a Full Stack Developer specialising in Node.js and Golang, you will contribute to the development and maintenance of cutting-edge technology solutions. This role is in the insurance industry and based in HK. Client…
Work Place in Malaysia, Welcome Hong Kong candidates to apply Relocation support provided - Flight, Visa, Accommodation Competitive Salary & KPI Bonuses, 5-day work week Role Summary On behalf of our client—a…
Job Description We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Senior Lead Software Engineer at JPMorganChase within the Commercial and…
Technical lead role at a data center operator, driving mechanical design for mission-critical APAC facilities — HVAC, Direct-to-Chip liquid cooling, fire protection, pumping and drainage — from concept through commissioning. Relies on AutoCAD, CFD/thermal modeling, and ASHRAE/Uptime/TIA-942/NFPA standards, with regional site travel.
Starbucks Asia Pacific is hiring a senior manager in Hong Kong to lead its regional data platform and cloud infrastructure. Day to day they own end-to-end data architecture, pipelines, and analytics integration across Azure and Databricks, and drive platform modernisation, governance (including Tableau), security, and cost efficiency.
Description AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data…
Data Engineer in Hong Kong at AlikeAudience, an adtech company building a privacy-safe audience-targeting solution. Day to day you'd build big-data pipelines, backend services and resilient distributed systems, mostly in Python (PySpark a plus), with tests and deployments — hybrid work, fresh graduates welcome.
A backend-focused data engineer role in Hong Kong (hybrid) building backend services and optimizing data pipelines with Python and PySpark. Suited to a collaborative small team, with fresh graduates welcome; clear English communication is emphasized.
Leads Starbucks Asia Pacific's data platform and engineering capability: owning the Azure and Databricks data ecosystem, cloud infrastructure, database environments, data pipelines/architecture, and the Tableau analytics platform across regional markets. Day to day involves platform strategy and modernisation, hands-on technical direction, governance, and building in-house data engineering experti
Senior AI/ML engineer in Hong Kong building and scaling production-grade AI solutions for a bank: Python/SQL data analysis, deploying LLM-powered applications, optimizing infrastructure, and driving adoption of an in-house AI platform.
Lead the Data Systems Team at proprietary trading firm Eclipse Trading in Hong Kong, defining a centralized data platform for orchestration, storage, and low-latency data access serving researchers and traders. The role blends people leadership and mentoring with hands-on engineering.
A senior/staff data engineer on Agoda's Customer Experience Group data team in Hong Kong, designing ETL/ELT pipelines, warehouse models, internal data tools, and BI dashboards that power customer support analytics. Core stack includes SQL, a major data warehouse (e.g. BigQuery/Snowflake/Spark), orchestration like Airflow/dbt, and a programming language such as Python, Java, or Go.
Senior Data Engineer (BI) in Hong Kong who designs, builds, and maintains scalable data pipelines and analytics infrastructure powering dashboards and decisions across customer contact channels. Partners with product, operations, and analytics; core stack includes SQL, data warehouses, ETL tools, and BI visualization platforms.
Lead backend engineer building and optimizing the core matching engine and order management system for a digital asset exchange in Hong Kong. Day-to-day work centers on low-latency, high-concurrency systems in Go/C++/Rust, plus risk/margin/liquidation logic, FIX/WebSocket market-maker connectors, and event-sourced data integrity using Redis, Kafka, gRPC, and PostgreSQL.
Build and improve data-loss-prevention, endpoint detection, and threat-modeling systems for a global crypto exchange, using Linux/macOS, big-data tools, and enterprise security platforms.
Junior Java/Web Developer builds and maintains cloud-based microservices using Java, React, and AWS, working in Agile/DevSecOps teams in Hong Kong’s tech sector.
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