Tech Jobs in Hong Kong

484,243 open positions · Updated daily

Hong Kong is rapidly becoming a tech playground, thanks to its status as a global financial hub, a thriving fintech ecosystem, and a growing focus on AI and gaming. The city’s strategic position between the mainland and the West gives start‑ups easy access to Chinese talent pools and international investors.

Tech companies in Hong Kong span from multinational banks like HSBC and Citibank to e‑commerce giants such as Alibaba and JD.com, as well as local fintech leaders like Ant Group’s Hong Kong arm, Ping An Technology and blockchain innovators in Cyberport. Gaming studios, AI research labs, and green‑tech ventures also flourish in areas like Central, Admiralty, and West Kowloon.

While Hong Kong boasts one of the world’s highest GDP per capita, housing and daily expenses remain steep, especially in Central and Quarry Bay. Transparent salary data lets candidates weigh total compensation against living costs, compare with mainland salaries, and make informed decisions about relocation or remote work.

Data Scientist

Company: IBM

Location: HK Hong Kong

Posted Nov 24, 2023

Develop processes and tools to monitor and analyze model performance and data accuracy. Required Technical and Professional Expertise Previous working/research experience for 3-5 years and recently worked as Data Scientist/Data Analyst with Bachelor’s degree in Statistics Data Science Mathematics Computer Science Econometrics or relevant quantitative field. Master’s or PhD degree is preferred Hands on experience with Python and SQL Good knowledge of statistical concepts (properties of distributions statistical tests) and machine learning techniques (such as regression classification time series clustering collaborative filtering NLP) and their real-world advantages/drawbacks Good knowledge of at least one of the key visualization libraries (such as matplotlib seaborn plotly ggplot2 Shiny bokeh) Strong analytical and problem-solving skills A drive to learn and master new technologies and techniques Excellent written and verbal communication skills for coordinating across teams Preferred Technical and Professional Expertise Having end-to-end analytic project experience from requirement gathering business/data understanding feature engineering model development to insight deployment/feedback is a plus Hands-on experience in knowledge graph deep learning decision optimization and/or MLOps is a plus Hands-on experience with distributed data/computing tools such as Spark is a plus Knowledge of cloud computing services such as IBM Watson Microsoft Azure Google Cloud Platform or AWS is a plus Coordinate with different functional teams to implement models and monitor outcomes. Extract clean and transform structured and unstructured data to make it consumable for downstream analytics Perform statistical analysis data mining and machine learning modelling on massive datasets to increase and optimize customer experiences revenue generation and other business outcomes. Your Role and Responsibilities Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions Formulate overall analytic solutions to address the identified business objectives and pain points Assess the effectiveness and accuracy of new data sources and data gathering techniques. Whether it’s investigating patient trends or weather patterns you will work to solve real world problems for the industries transforming how we live. Work with Best in Class open source and visual tools along with the most flexible and scalable deployment options. Introduction As a Data Scientist at IBM you will help transform our clients’ data into tangible business value by analyzing information communicating outcomes and collaborating on product development.

Senior Managing Data Consultant – Insurance

Company: IBM

Location: HK Hong Kong

Posted Oct 31, 2023

The job posting is for a Business Sales & Delivery Executive role at IBM, focusing on growth through business development, sales account management, and delivery skills. The role involves managing client and project delivery, providing recommendations on data management and IoT technologies, leading work streams, and overseeing project quality. The ideal candidate should have a degree in Computer Science, Information Systems, or Engineering, with a minimum of 8 years of experience in large-scale project delivery. They should have excellent technical skills in data and analytics, experience in cloud technologies, and a proven track record in delivering cloud-native data/IoT platform solutions. Familiarity with Data Science concepts and strong integration experience with SAP-ERP MES Assets Management solutions are also preferred.

Consulting-Management Consulting Manager-CFO&EV/Finance Transformation

Company: Accenture

Location: China/Hong Kong SAR Hong Kong

Posted Jul 17, 2023

The individual has extensive experience in leading large-scale technology transformations, managing projects, and stakeholder relationships. They excel in project planning, coordination, progress management, and client relationship building. Their responsibilities also include contract design, risk mitigation, process optimization, and securing growth opportunities.

Data Architect

Company: IBM

Location: HK Hong Kong

Posted Nov 24, 2023

data sandbox / feature engineering) Propose architectures that consider cost/spend in Cloud Platform strategy and develop recommendations or plans to right-size data infrastructure Required Technical and Professional Expertise University graduate in Information Technology Computer Science or in a related discipline Minimum 8 years’ working experience in data or infrastructure architecture Minimum 3 years’ working experience in data modelling and design Demonstrate capability in data lake data warehousing data integration data migration tools knowledge data quality and profiling skills Possesses experience of having solved complex analytical and technical problems Possesses end-to-end architecture experience including front-end databases and data warehouse Strong knowledge on data management and analyst Experienced in relational database such as SQL server Oracle and Teradata Experienced in noSQL database such as MongoDB Excellent communication and negotiation skills Proficient in both spoken and written English and Chinese Preferred software development experience with C/C++ or Java Preferred experience in leading offshore team Preferred experience in one or more cloud data platform such as AWS Azure GCP Preferred experience in collaboration with data scientist in data exploration and machine learning Preferred Technical and Professional Expertise NA Your Role and Responsibilities Design develop and implement end-to-end data solutions (storage integration processing access) Architect and implement ETL and data movement solutions Data Modelling for different data flow architecture such as ODS DDS Prepare documentation and designs for data solutions and applications Design and implement distributed analytics platforms for analyst teams Design and implement high velocity streaming solutions Creating conceptual logical and physical data models Migrate data from traditional relational database systems to relational databases such as Azure SQL and Azure Synapse Implement ad-hoc analysis solutions Implement solution for data engineering in data science / machine learning domain (e.g. You are a technical leader serving as a liaison among business partners technical resources and project stakeholders. You will define the scope and vision for projects that deliver customized solutions using your knowledge of IBM platforms. Introduction As an IBM Application Architect you directly help clients transform their business and solve complex problems.

Customer Service Representative

Company: Gate.io

Location: Hong Kong

Posted Dec 12, 2023

Integrity, insight, innovation, purpose and cooperation are inscribed within our culture. Additionally, Gate.io has been verified by Blockchain Transparency. Gate.io, founded in 2013, is one of the pioneering cryptocurrency exchanges and offers services worldwide related to the trading of multiple leading digital assets. At least 2 years of relevant experience in financial services, technology, and/or customer support. With millions of registered users, it is considered one of the safest and most reliable global cryptocurrency platforms, consistently ranked among the top 10 cryptocurrency exchanges based on liquidity and trading volume (CoinGecko). Have a positive working attitude, good communication and expression ability, and work under high pressure. What we are looking for A bachelor's degree in social media management, marketing, customer service, or a related field. We are A values-based culture that trusts your knowledge, vision, and autonomy, we focus on taking the best products and campaigns to wow our customers and bring the freedom of decentralization to every part of the world. Have experience in customer-oriented support and service, and have experience in serving VIP customers. Highly enthusiastic about the blockchain industry or cryptocurrency industry knowledge.

Enterprise Architect-Hybrid MultiCloud Platforms

Company: IBM

Location: HK Hong Kong

Posted Nov 24, 2023

To collaborate. If so lets talk. To invent. Your Role and Responsibilities Understanding client’s business objectives and requirements to lead the team producing a viable solution architecture Designing building creating analysing and maintaining cloud systems Responsible for the supervision of project’s cloud computing system Work on cloud application designs cloud approval plans and systems required to manage cloud storage Lead the team on technical proposal development solution presentation and subsequent delivery Define development best practices and configuration / code management processes for the development team to follow Lead the development team on solution development and responsible for quality assurance Lead non-functional testing and participate in the review of regression systems and stress/performance testing and code promotion Required Technical and Professional Expertise University degree in computer science or any other equivalent degree. To make markets. 10-15 years total relevant experience of which at least 5 years of experience in producing solution architectures and application design for at least one solution architecture with Full Software Development Life-Cycle experience Good in designing architecture to meet customer’s non-functional requirements Hands-on experience in leading a team for project implementation Good problem solving skill communication skill and commercial/engagement support sense Previous IT experience in consulting firm or services vendors is preferred Preferred Technical and Professional Expertise Good command of written and spoken English and Chinese (Putonghua is an advantage) Experience in performing performance test with tools like Rational Performance Tester is a plus To consult. To code. Not just to do something better but to attempt things you’ve never thought possible. To think along with clients and sell.

Frequently Asked Questions

What types of tech jobs are available in Hong Kong?
Hong Kong offers a broad spectrum of tech roles, including software engineers, data scientists, product managers, cybersecurity specialists, AI researchers, fintech developers, blockchain engineers, gaming developers, UI/UX designers, and DevOps engineers. These positions are found in banks, fintech firms, gaming studios, e‑commerce platforms, and emerging green‑tech companies.
Are tech jobs in Hong Kong remote or on-site?
Remote work is increasingly common, especially for roles in AI, data science, and product management. However, many fintech and banking positions still require on‑site presence in Central or Cyberport due to regulatory compliance. Hybrid models are the norm in most tech companies.
Who are the major tech employers in Hong Kong?
Key employers include HSBC, Citibank, Ant Group Hong Kong, Ping An Technology, Tencent Hong Kong, Alibaba, JD.com, Cyberport’s incubator companies, Google, Apple, Microsoft, and local startups such as WeLab, Lalamove, and GOGOP.
What are the salary expectations for tech roles in Hong Kong?
Typical monthly salaries vary by experience and industry: entry‑level software engineers earn HKD 20,000–30,000; mid‑level roles range from HKD 35,000–50,000; senior engineers and product managers can command HKD 70,000–120,000. Fintech and banking positions often offer higher compensation and bonus structures.
What advice should I follow when relocating to Hong Kong for tech work?
Secure a work visa or employment pass, research housing in Central,

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