95 Data Integration jobs in Hong Kong

System Analyst, Data Integration, API design

Your New Company

Our client, a leading organisation in life science and healthcare industry, is looking for a Data Integration Architect. Join a work-life balance environment driving innovative data solutions in healthcare sector.

Your New Role

• Developing and maintaining APIs and data transfer workflows for external system integration.
• Designing strategies for high availability, replication, and disaster recovery using modern infrastructure tools.
• Implementing data security measures including access control, encryption, and audit logging.
• Monitoring and optimising system performance to improve efficiency and responsiveness.
• Ensuring data quality through validation, lineage tracking, and consistency checks.
• Collaborating with cross-functional teams to integrate diverse data types and formats.

What You'll Need to Succeed

• Bachelor's degree in Computer Science or related field with 5+ years of experience.
• Expertise in RESTful API design with good security sense
• Strong experience with data transfer protocols (e.g. HTTPS, AWS S3)
• Proficiency in data modelling, database design (PostgreSQL, MySQL, MongoDB), and programming , Java or C++).
• Hands-on experience with Kubernetes

What You Need to Do Now

Click 'apply now' to forward an up-to-date copy of your CV to or call for a confidential discussion.

System Analyst, Data Integration, API design

Your New Company

Our client, a leading organisation in life science and healthcare industry, is looking for a Data Integration Architect. Join a work-life balance environment driving innovative data solutions in healthcare sector.

Your New Role

• Developing and maintaining APIs and data transfer workflows for external system integration.
• Designing strategies for high availability, replication, and disaster recovery using modern infrastructure tools.
• Implementing data security measures including access control, encryption, and audit logging.
• Monitoring and optimising system performance to improve efficiency and responsiveness.
• Ensuring data quality through validation, lineage tracking, and consistency checks.
• Collaborating with cross-functional teams to integrate diverse data types and formats.

What You'll Need to Succeed

• Bachelor's degree in Computer Science or related field with 5+ years of experience.
• Expertise in RESTful API design with good security sense
• Strong experience with data transfer protocols (e.g. HTTPS, AWS S3)
• Proficiency in data modelling, database design (PostgreSQL, MySQL, MongoDB), and programming , Java or C++).
• Hands-on experience with Kubernetes

What You Need to Do Now

Click 'apply now' to forward an up-to-date copy of your CV to or call for a confidential discussion.

Client
: Investment Management

Location
: Hong Kong

Role
: Permanent

We are seeking an
AI/Data Integration System Engineer (Python)
to manage our client's AI projects from start to finish, including quick prototypes and large-scale production.

This role combines hands-on AI development—creating tools that improve trading and risk management—with data engineering to ensure everything runs smoothly.

You will

• Experiment with new AI methods, build efficient data pipelines, and integrate AI insights.
• Collaborate with innovative AI startups to identify valuable technologies and ensure our AI efforts are practical and forward-thinking
• Working closely with our Product Manager, engineers, and investment teams, you will prioritize projects and deliver effective solutions that meet our goals, while maintaining high standards of security and compliance in a regulated environment.

Backend Services & Pipelines

• Develop and maintain Python-based backend services and data processing pipelines.

AI Integration

• Build RAG pipelines for financial and unstructured data and integrate AI systems into workflows.

Infrastructure & Operations

• Monitor Kubernetes-based cloud infrastructure and optimize performance for stable deployments.

Looking for:

• Backend Engineering
  : Strong Python experience in building data pipelines.
• Database Knowledge
  : Familiarity with relational and distributed databases.
• Cloud Experience
  : Ability to manage services on cloud platforms (preferably AWS)
• RAG Workflows
  : Understanding of chunking, embedding, and vector search.
• Security Awareness
  : Knowledge of security frameworks and data protection laws (GDPR, HIPAA, CCPA).

We do not provide relocation assistance for candidates outside of Hong Kong. If you hold a Hong Kong work visa, dependent visa, IANG visa, or HK Top Talent visa, we encourage you to apply, and we will respond to your application.

Overview

My client - a global, quantitative hedge fund - is looking to hire a Data Integration Specialist to join their Hong Kong office. This is an excellent opportunity to be a key member of the data team, and part of one of the most respected funds worldwide.

Your primary duty will be to manage the extensive dataset used in the research and trading platform. Responsibilities include working with and implementing alternative data sets, as well as monitoring data health.

• Manage the extensive dataset used in the research and trading platform.
• Work with and implement alternative data sets.
• Monitor data health.

• Tech Stack: Python and SQL
• Must have a minimum of 3+ years of work experience as a Software Engineer in Python or Data Engineer/Analyst/Scientist
• Must be highly proficient in Python
• Preferably from a financial services background, but not mandatory
• Level: 3-10 years of experience

• Join a leading performing hedge fund that has outstanding returns for multiple consecutive years
• Excellent work culture! Highly regarded by its employees as a great place to work (low attrition rate)
• Highly competitive compensation packages with a comprehensive benefits package (plus appealing perks!)

Apply today with your latest resume or drop a message to discuss.Follow BAH Partners for updates:

BAH Partners specialize in placing leading technology and quantitative talent into Asia Pacific’s premier financial and technology-driven organizations. For more information or confidential career discussions, please contact the recruiter above.

Follow us on LinkedIn:

My client - a global, quantitative hedge fund - is looking to hire a Data Integration Specialist to join their Hong Kong office. This is an excellent opportunity to be a key member of the data team, and part of one of the most respected funds worldwide.

Your primary duty will be to manage the extensive dataset used in the research and trading platform. Responsibilities include working with and implementing alternative data sets, as well as monitoring data health.

• Manage the extensive dataset used in the research and trading platform.
• Work with and implement alternative data sets.
• Monitor data health.

• Tech Stack: Python and SQL
• Must have a minimum of 3+ years of work experience as a Software Engineer in Python or Data Engineer/Analyst/Scientist
• Must be highly proficient in Python
• Preferably from a financial services background, but not mandatory
• Level: 3-10 years of experience

• Join a leading performing hedge fund that has outstanding returns for multiple consecutive years
• Excellent work culture! Highly regarded by its employees as a great place to work (low attrition rate)
• Highly competitive compensation packages with a comprehensive benefits package (plus appealing perks!)

Apply today with your latest resume or drop a message to discuss.Follow BAH Partners for updates:

BAH Partners specialize in placing leading technology and quantitative talent into Asia Pacific’s premier financial and technology-driven organizations. For more information or confidential career discussions, please contact the recruiter above.

Follow us on LinkedIn:

Overview

We are now looking for a professional to join our data management team for OTT service, Viu located in Hong Kong. With over 66 million monthly active users (MAU) and 12 million paid subscribers, Viu is a leading pan-regional OTT video service with presence across Asia, the Middle East, and South Africa.

• Lead the entire data solution lifecycle including requirement gathering, solution design, implementation, and releasing
• Oversee the end-to-end data flow, including data collection, transformation, enrichment and integration, to make sure they are usable, accurate, consistent across the reports and downstream applications
• Collaborate with cross-functional teams on the data needs, and conduct the roadmap to build the data engineering capabilities to proactively meet the business needs
• Work closely with the Data Analytics and QA teams, to data quality to provide the high availability
• Manage the team resources and schedule to ensure the data platform is delivered with effectiveness, high quality, accurate, secure, on time, budget and cost control, as well as efficiently handle ad hoc analytics queries

To be successful in your new position it is important that you are someone who is forward-thinking and who takes initiative. Also, it is essential to have the following skills:

• 5+ years related experience in data engineering and data platform
• Degree holder, preferably from statistics, computer science or related disciplines
• Proficiency with SQL, and at least one object-oriented language (Python, Java, etc.)
• Track record of delivering large-scale, secure, and highly available data pipelines in a cloud environment, preferably AWS or GCP.
• Expert in data architecture, data models and ETL pipeline, with modern data technology, such as Snowflake, Databricks, dbt, and Kafka
• Domain experience in the digital marketing, e-commerce, CRM, MarTech or AdTech fields is highly desired
• Flexible and able to work in a dynamic environment and manage your own time in a high paced work environment and tight timeline
• Good command of both written and spoken English and Chinese

• Mid-Senior level

• Full-time

• Engineering, Information Technology, and Analyst

• Entertainment Providers, Technology, Information and Media, and Broadcast Media Production and Distribution

Join to apply for the Data & Engineering Manager role at Preface

About Preface
Preface is a content and tech-enabling company with the mission to enable learners with up-trend tech knowledge and skills anytime, anywhere, and in any format. We have been living and breathing by the motto “there isn’t a thing that cannot be learnt.” With the vision to increase the overall tech literacy of the world, Preface provides market-leading education solutions to fulfill the ever-changing learning & customised-development needs of learners and corporates worldwide.

Role Overview

We are seeking a Data & Engineering Manager to lead our digital development and project management efforts. In this role, you will lead the effort of building an immersive tech learning experience, using data to inform business and product decisions, and supporting technical needs for operation teams. You will collaborate closely with multiple internal teams and external vendors/affiliates.

Key Responsibilities

• Lead and mentor a team of technical, design and operation professionals, promoting a culture of collaboration and continuous improvement.
• Collaborate internally with cross-functional teams, and externally with vendors and affiliates to deliver products that meet timeline and expectations.
• Work with databases to retrieve, analyze and visualize data, informing decisions on learner engagement, content enhancement and business optimisation.
• Support operational tech needs, including system optimisation and troubleshooting to maintain seamless platform performance.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering or related fields.
• 5+ years of experience in software engineering, with at least 2 years in a managerial role.
• Strong proficiency in programming languages (e.g. Python, JavaScript), database technologies (e.g. SQL, NoSQL) and BI tools (e.g. Metabase).
• Familiar with AI/ML concepts and digital transformation initiatives. Passion for education and technology, with a commitment to fostering data-driven decision-making and innovation.
• Excellent project management and communication skills, with a strong business sense and collaboration mindset. Humble team player comfortable with fast-paced startup environments and ambiguity.

Benefits

• We care about your wellbeing
• Competitive health insurance
• Complimentary food & beverage for you and your loved ones at Preface Coffee & Wine
• We care about your growth & development
• Complimentary tech knowledge upskilling
• Global exposure
• Great career development opportunities in a growing company
• Do meaningful work - be part of the future of education technology and a leading force in the industry
• We care about your day to day
• Premium working locations
• Casual work attire

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Engineering and Information Technology
• Education Management

Referrals increase your chances of interviewing at Preface by 2x

Get notified about new Engineering Manager jobs in Hong Kong, Hong Kong SAR .

The Strategic Technology Department is a newly established and fast-growing team dedicated to driving business-oriented development projects through innovative enabling technologies. We build Top Form's data systems that turn raw information into useful insights. Our pipelines and tools give teams reliable data to make better decisions, while helping everyone in the company work smarter with data.

Key Responsibilities:

• Data Governance: Responsible for designing, building, and maintaining the infrastructure that supports data management. This includes selecting appropriate technologies, defining how data is collected, stored, processed, and used within the organization with ownership & accountability for data assets.
• Developing and Implementing Data Solutions: Develop or introduce feature engineering or self-service tools to meet specific business needs.
• Data Collection and Integration: Identifying & collecting data from various sources and integrated into a centralized system. This may involve building data pipelines, using ETL (Extract, Transform, Load) tools. Ingest data from APIs, databases, logs into data lakes/warehouses.
• Data Transformation and Storage: Converting raw data into a usable format for analysis and reporting. This may involve cleaning, transforming, and structuring data to ensure it meets specific requirements.
• Data Quality and Reliability: Maintaining data quality and reliability by implementing data validation, monitoring data pipelines, and addressing issues that arise. Ensure they are operating smoothly for performance and scalability, ensuring efficient data processing and retrieval. Make sure data is accessible when and where it is needed.
• Data Security: Implement security measures to protect data and ensure compliance with relevant regulations, if applicable. Protect data from unauthorized access, use, disclosure, disruption, modification, or destruction.

Job Requirements:

• Bachelor's degree or above in Data Science, Computer Science, Engineering, Information Technology, or a related field
• Minimum 3 years of working experience in analytics, operations management, or data product R&D (with relational and non-relational database)
• Proficient in Python, SQL, DAX, and experienced with cloud platforms
• Familiar with SQL Server, PostgreSQL, or MySQL
• Skilled in Microsoft Suite (Office, Planner, SharePoint, Power Automate, Power BI)
• Experienced in database modeling, cloud computing, and big data technologies
• Strong problem-solving skills and ability to enable decisions with statistics
• Effective communicator and team player
• Able to create clear documentation for data pipelines, systems, and processes
• Quick learner, adaptable to new technologies and changing requirements
• Candidates with less experience may be considered for a junior position

We offer a competitive remuneration package, including a 13-month salary, 5-day work week, birthday leave, personal accident insurance, and excellent career prospects to the right candidate. Interested parties, please send your full resume with current and expected salary to the Group HR & Administration Department.

For more details about our Group, please visit our website at

We are an equal opportunity employer. We value the diversity of individuals, ideas, perspectives, insights and values, and what they bring to the workplace. Applications from all qualified candidates are welcome. Personal data collected will be kept and handled confidentially by authorized personnel for recruitment purpose only. It may also be disclosed to our subsidiaries or associates to process the information for appointment.

Applicants who are not contacted within four weeks may consider their application unsuccessful. The applications will be retained for a maximum period of 12 months after the selection process is finalized and we may refer suitable applicants to other vacancies within the Group. A copy of our Personal Information Collection Statement can be provided upon request by contacting Group HR & Administration Department at the above email address.

We are now looking for a professional to join our data management team for OTT service, Viu located in Hong Kong. With over 66 million monthly active users (MAU) and 12 million paid subscribers, Viu is a leading pan-regional OTT video service with presence across Asia, the Middle East, and South Africa.

• Lead the entire data solution lifecycle including requirement gathering, solution design, implementation, and releasing
• Oversee the end-to-end data flow, including data collection, transformation, enrichment and integration, to make sure they are usable, accurate, consistent across the reports and downstream applications
• Collaborate with cross-functional teams on the data needs, and conduct the roadmap to build the data engineering capabilities to proactively meet the business needs
• Work closely with the Data Analytics and QA teams, to data quality to provide the high availability
• Manage the team resources and schedule to ensure the data platform is delivered with effectiveness, high quality, accurate, secure, on time, budget and cost control, as well as efficiently handle ad hoc analytics queries

To be successful in your new position it is important that you are someone who is forward-thinking and who takes initiative. Also, it is essential to have the following skills:

• 5+ years related experience in data engineering and data platform
• Degree holder, preferably from statistics, computer science or related disciplines
• Proficiency with SQL, and at least one object-oriented language (Python, Java, etc.)
• Track record of delivering large-scale, secure, and highly available data pipelines in a cloud environment, preferably AWS or GCP.
• Expert in data architecture, data models and ETL pipeline, with modern data technology, such as Snowflake, Databricks, dbt, and Kafka
• Domain experience in the digital marketing, e-commerce, CRM, MarTech or AdTech fields is highly desired
• Flexible and able to work in a dynamic environment and manage your own time in a high paced work environment and tight timeline
• Good command of both written and spoken English and Chinese

• Mid-Senior level

• Full-time

• Engineering, Information Technology, and Analyst

• Entertainment Providers, Technology, Information and Media, and Broadcast Media Production and Distribution