73 Healthcare Data jobs in Hong Kong

Job Responsibilities:

• Handle Engineering Document (e.g. Manufacturer's Requirement, Maintenance Manual, Engineering Drawings etc.) revision, content review and creation, formatting, and publication, in accordance with Disney Standard.
• Support data management works such as document release workflow, document traceability identification on Electronic Data Management System (EDMS).
• Participate in Tier II Audits for compliance of HKDL and Disney Standard in relation to documentation, workflow, execution of work, etc.
• Monitor and control Internal and Global projects deliverable with Project Team / Vendors, submission control and publication.
• Review and formatting of HKDL Business Practice, assist HKDL Engineering partners on publication and revision; Contact with Global Team on process and publication for HKDL Business Practice.
• Maintain EDMS on system changes / upgrade / testing in coordination with Global Data Management Team; Maintain the attraction paperless system and data integrity in supporting routine Attraction Maintenance tasks.
• Site work in collecting necessary data to support building of engineering document (Manufacturer's Requirement and Maintenance Manual).

Job Requirements:

• Bachelor's Degree in Engineering, Engineering Management, Operations Management, Data Management, or a related discipline.
• Minimum 2 years of experience in document management and administrative work, including process definition and project coordination. Experience in engineering document control and data management within large-scale engineering projects is preferred.
• Familiarity with international quality control and audit systems such as ISO9000 is an added advantage.
• Solid understanding of data management systems and workflows, including classifications, segregation, WDC assignment, ECO and ECF workflows, and check-in/check-out and release processes.
• Strong communication and problem-solving skills, with a detail-oriented and organized approach.
• Good oral and written communication in English and Chinese.

HKProfessional

Location:

Hong Kong, Central and Western District

Team:

Data Management

Job Requisition #: R

Date posted: Sep. 30, 2025

Senior Data Management Professional - Data Engineering - APAC New Issues, Hong Kong

Location

Hong Kong

Business Area

Data

Ref #

Description & Requirements
Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock – from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes.

Our Team
Our Corporate Bonds Primary Markets team is responsible for the timely and accurate publication of new bonds being brought to market. Responsibilities also include developing automated pipelines for ingestion and publication of corporate bonds data, enhancing our primary markets dataset, and finding opportunities to expand our data product offering through client engagement. Our team works closely with internal consumers of our data including the News, Pricing, and Index teams. We also heavily collaborate with our counterparts in Product, Sales & Engineering.

What's the role?

We are looking for a Senior Data Engineer with an outstanding combination of technical, interpersonal and communication skills, which they can apply to spot gaps and find improvement opportunities to our product's technologies. You will be seen as a technical leader across the organization. We are looking for a highly motivated individual who is passionate about building automated workflows and pipelines to support the transformation of the corporate bonds dataset. You will apply your problem-solving skills to handle the pipelines, automation processes and workflows that feed our products. In addition to that, you will be tasked with measuring and articulating the impact of your initiatives using business intelligence tools. You will be encouraged to lead projects globally, collaborate with partners across the business, and mentor junior members of the group who are looking to develop technically.

We'll Trust You To

• Understand financial markets and client needs to drive the corporate bonds data product strategy
• Design, develop and maintain automated solutions via microservices for data ingestion, standardization, and ETL pipelining
• Collaborate with a wide variety of external partners and internal departments including Engineering, Product and Sales on strategic product development and execution
• Define, measure and manage the impact of your work using statistics and data visualization tools
• Build quality data workflows to verify and validate third party data
• Communicate with impact, ensuring relevant information is articulated in a meaningful way to wide and varied audiences

You'll Need To Have

• Excellent proficiency and fluency in English and Mandarin
• Bachelor's degree or degree-equivalent qualifications
• Demonstrated experience with corporate bonds and wider financial markets landscape
• At least 4 years of experience working with data in the financial industry
• 3 years of programming experience in a development and/or production environment using tools such as Python for data management and ETL pipelines development
• Demonstrated experienced using scripting languages to build pre-processing services that can be integrated in our data pipelines
• Strong critical-thinking and problem-solving skills, particularly to modify and improve processes and workflows
• Excellent written and verbal communication skills to explain technical processes and solutions to business partners and management
• Ability to work independently as well as in a multi-functional team environment
• Mindset to challenge status quo and proven ability to influence others and lead change
• Understanding of data quality standard methodologies to improve the value of the dataset
• Proven track record of effective project management and a customer focused mentality
• Demonstrated continuous career growth within an organization

We'd Love To See

• Familiarity with fixed income markets
• Familiarity with data science and machine learning techniques to help with automation
• Agile/Scrum project management experience
• A proven grasp of data management principles and technologies to perform requirements analysis, quality assurance and control, as well as data modelling
• Experience using data analysis and visualization tools such as QlikSense, Superset or Tableau

If This Sounds Like You
Apply if you think we're a good match.

Location

Hong Kong

Business Area

Data

Ref #

Description & Requirements
Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock – from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes.

The Company Financials team provides our clients with fast and accurate market-moving data so they can stay on top of their game: broker estimates, financial filings, and any other dataset that is useful to understand financial performance in the markets. Our products run on intelligence and industry-specific insights provided by the industry teams. We combine financial modeling, industry expertise, data management, and technical skills to curate critical metrics and drive insights from our data.

We are dedicated to crafting a best-in-class financial analysis and modeling product while constantly looking to enhance and expand our existing offering through a deep understanding of the markets we operate in, the sectors we cover, and our clients current and future needs.

What's the role?

The Company Financials Markets team is looking for a Senior Data Management Professional who can combine deep subject matter expertise and advanced technical skills to own and develop data-driven strategies and workflows around exchanges and 3rd party data providers. You are expected to take advantage of these knowledge and skills to drive workflow strategies, deliver best-in-class user and technical workflows and better incorporate humans in the automation pipelines that eventually help shape and build fit-for-purpose Company Financials products. Coupled with good communication and stakeholder management skills, you will also be working very closely with partners across PD&T, including Product Managers, Engineering teams as well as other Company Financials Industries and Cross-function teams to meet the needs of our external and internal clients.

We'll Trust You To

• Develop data-driven strategies, balancing the best of Technical, Product, Financial and Market knowledge, and work with our engineering and product departments to craft solutions
• Own the reliable and efficient workflows around the exchanges and 3rd party data providers such as document acquisition and structured/unstructured contents processing, utilizing programming, machine learning and/or human-in-the-loop approaches.
• Analyze workflows to identify critical observability checkpoints to ensure delivery of the fit-for-purpose data on market basis; design and build efficient, maintainable and scalable solutions to facilitate monitoring, reporting and alerting across markets.
• Analyze market specific workstreams to identify opportunities for improvement and/or consolidation by leveraging technical knowledge of Bloomberg's proprietary or open-source stacks.
• Communicate and collaborate across team members and complementary teams including Engineering, Product, and Bloomberg Intelligence
• Develop interconnected data models that enable analysis across datasets and develop statistical analysis.

You'll Need To Have

• A bachelor's degree or above in Statistics, Computer Science, Quantitative Finance, or other STEM related field or degree-equivalent qualifications
• Minimum 4+ years of experience in the financial/fintech services industry, including exchanges, market data providers or financial technology institutions, and/or a data engineering role or related fields such data quality, data modeling, or data architecture
• Experience working with Python in development or production environment
• Experience implementing high volume, low-latency ETL pipelines and proven track record of managing data lifecycle
• Familiarity with various databases, schemas, modeling, as well as structured and unstructured formats (PDF, HTML, XBRL, JSON, CSV etc.)
• Strong project management skills and ability to prioritize and adapt to tasks accordingly with a customer focused mentality
• Powerful collaboration skills to work across departments and regions, excellent written and verbal communication skills
• Demonstrated continuous career growth within an organization
• Excellent written and verbal communication skills in English

We Would Love To See

• Advanced degree/Master's degree in a Finance or STEM subject and/or CFA designation (or working towards it)
• Experience in Bloomberg Company Financials products especially with specific market/exchange, Bloomberg Terminal fluency, and/or Bloomberg Data Workflows
• Familiarity with use cases of advanced statistical methods such as Machine Learning, Artificial Intelligence, and Natural language Processing
• Experience designing optimal database structures

If This Sounds Like You
Apply today We'll reach out to discuss the next steps

Senior Data Management Professional - Data Engineering - Fixed Income Corporate Actions, Hong Kong

Location

Hong Kong

Business Area

Data

Ref #

Description & Requirements
Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock – from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes - all while providing platinum customer support to our clients.

Our Team
Our Fixed Income Corporate Actions Data team looks after the lifecycle of corporate securities focusing on transaction level data and their impact on reference data and bond calculations. Corporate Actions can have significant implications for bondholders and often impact across the wider market, making timely and accurate interpretation and capture of corporate actions data key to meet client needs. With the increased adoption of new technologies and industry standards, there is a growing need for automation and standardization of corporate actions, uncovering an opportunity for technical innovation for our team.

What's the role?

As a Senior Data Engineer on our team, you will play a critical role in designing, implementing, and maintaining robust data infrastructure to support Bloomberg's fixed income corporate action datasets. You'll be responsible for building scalable, automated data pipelines and workflows that ensure the seamless flow of data from diverse sources into our systems. You will collaborate closely with Engineering teams, domain experts, and business stakeholders to understand data requirements, identify gaps, and drive improvements across our technology stack. Your work will directly impact the quality and efficiency of our products, and you'll be expected to measure and articulate this impact using business intelligence tools. We're looking for a highly motivated technical leader who is passionate about solving complex data problems, transforming datasets, and mentoring junior team members. You'll be encouraged to lead global initiatives, foster cross-functional collaboration, and bring innovative, resourceful solutions to the table.

We'll Trust You To

• Design, develop, and maintain scalable data pipelines and processes that interact with our corporate action database
• Apply modern technologies to solve problems and optimize workflows in areas such as data quality, acquisition, operations, reliability, and content—working closely with domain experts and technical account managers.
• Collaborate with internal teams (Engineering, Product, Sales) and external partners to drive strategic product development and execution.
• Use statistical analysis and data visualization to generate insights on operations and projects, and communicate findings effectively.
• Incorporate machine learning and statistical techniques to detect anomalies and drive quality improvement in areas such as accuracy, completeness, consistency and reliability
• Communicate with impact, ensuring sophisticated information is articulated in a meaningful way to wide and varied audiences including senior executives
• Maintain comprehensive documentation outlining the purpose, design, and technical specifications of services developed by the team.

You'll Need To Have

• Strong written and verbal communication skills in both English and Chinese (Mandarin or Cantonese)
• At least 4 years of experience working with data in the financial industry
• 3 years of programming experience in a development and/or production environment, with proficiency using tools such as Python for data management and ETL pipeline development.
• Experience using scripting languages to build preprocessing services integrated into data workflows.
• Excellent critical thinking and problem-solving abilities, especially in improving and automating data processes.
• Ability to work independently and thrive in a cross-functional team environment.
• A proactive mindset with a willingness to challenge the status quo, influence others, and lead change.
• Solid understanding of data quality best practices to enhance dataset value.
• Proven experience in project management and a strong customer-focused approach.
• A track record of continuous career growth and increasing responsibility within an organization.

We'd Love To See

• Familiarity with fixed income markets and financial datasets.
• Experience with data science and machine learning techniques.
• Background in Agile/Scrum project management methodologies.
• A proven grasp of data management principles and technologies to perform requirements analysis, quality assurance and control, as well as data modelling
• Experience using data analysis and visualization tools such as QlikSense, Superset or Tableau

If This Sounds Like You
Apply if you think we're a good match.

As the leading bank in Asia, Transformation & Data supports our management on the implementation of the Group's agenda. Data Management & Governance, organised under Transformation & Data, is the implementation of enabling infrastructures, policies, practices and procedures that allow the organisation to manage the end-to-end lifecycle of data.

Responsibilities

·    Lead to develop standards, controls, procedures and accountability frameworks for data governance implementation across the organization

·    Lead to define data strategy to establish and ensure adherence to the organization's data governance framework for data policies, standards, governance metrics, processes and data architecture

·    Track emerging data regulations and trends to maintain a compliant and contemporary data governance program

·    Oversee processes for improving data quality, cataloging, and metadata management. Implement data quality rules, checks, and issue resolution workflows

Requirements

·    Bachelor's Degree or above in related discipline

·    Minimum of 8 years working experience in data governance / data management / risk management related work

·    Experience in establishing and monitoring of data governance framework

·    Experience in AI governance is highly desirable

·    Sound knowledge of HK regulatory requirements related to data governance is highly desirable.

·    Previous experience to develop and execute data strategy, governance policies and data management is a plus

·    Strong leadership, problem-solving and project management skills

·    Excellent communication, relationship-building and presentation abilities

·    Confident working in cross-functional, collaborative environments

·    Ability to work both independently and as part of a team

Apply Now

We offer a competitive salary and benefits package and the professional advantages of a dynamic environment that supports your development and recognises your achievements.

We regret only shortlisted candidates will be notified.

Senior Data Management Professional - Company Financials Industries, Hong Kong

Location

Hong Kong

Business Area

Data

Ref #

Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock – from around the world. In Data, we are responsible for delivering this data, news, and analytics through innovative technology—quickly and accurately. We apply problem-solving skills to identify workflow efficiencies and implement technology solutions to enhance our systems, products, and processes.

Our Team

The Company Financials Industries team provides clients with fast and accurate market-moving data—covering broker estimates, financial filings, and other critical datasets that help them assess financial performance. We leverage financial modeling, industry expertise, data management, and technical skills to curate key metrics and extract insights from our data. Our goal is to deliver a best-in-class financial analysis and modeling product while continuously expanding and enhancing our offering.

What's the Role?

As a Senior Data Management Professional on the Company Financials Industries team, you will oversee the data management and analysis of a portfolio of companies. Your work will involve building financial models, designing technical solutions, analyzing company data, defining key metrics, and researching alternative datasets to enhance Bloomberg's financial data products. Your insights will help ensure our products remain best-in-class and fit-for-purpose for our clients.

Sectors Hiring: Consumer, Health Care, Energy, Real Estate, Technology, Financials, Industrials

We'll Trust You To:

• Own the data coverage, quality, and curation of 15-20 companies across Bloomberg Terminal, financial models, and enterprise data products
• Perform data profiling and exploratory data analysis to identify and prioritize areas of investments in our data offering
• Research and productionize advanced data quality solutions by leveraging subject matter expertise and technical acumen
• Use Python to query, analyze, and automate workflows
• Analyze industry trends and market-moving events to ensure our datasets reflect relevant, high-value information for clients
• Troubleshoot and resolve data quality escalations, collaborating with clients and stakeholders to ensure datasets are fit-for-purpose
• Develop financial models and apply data-driven insights to enhance product offerings
• Apply subject matter expertise to support the development of AI/ML automation initiatives
• Build interconnected data models across Bloomberg's product offering
• Manage client and internal stakeholder relationships
• Mentor and train junior team members to strengthen team capabilities

You'll Need To Have:

• Bachelor's degree in Finance, Accounting, Statistics, Business, STEM, or a related field or equivalent experience
• 4+ years of relevant experience in financial data analysis, equity research, financial modeling, or a related field
• Proficiency with both English and other Asian languages (Korean or Mandarin)
• Strong coding proficiency in Python or R for data analysis and workflow optimization
• Advanced experience working with Pandas (Python) or dplyr (R)
• Deep understanding of financial statements, financial modeling, and industry analysis
• Competency in applied statistics, with emphasis on descriptive statistics and statistical inference
• Basic knowledge of relational data modelling with a focus on conceptual data model and data normalization
• Strong problem-solving skills and ability to thrive in a fast-paced environment
• Excellent communication skills, with the ability to effectively translate business needs into actionable data solutions
• Proven ability to support and engage with stakeholders to ensure product success

We'd Love to See:

• Master's degree or CFA designation (or in progress)
• Sector-specific expertise and understanding of key industry drivers (buy-side or sell-side equity research experience a plus)
• Exposure to data management principles, business intelligence tools or quality assurance and control
• Foundational knowledge of core LLM concepts
• Experience using Bloomberg Terminal and Company Financials products

If This Sounds Like You:

Apply today We'll reach out to discuss the next steps

As the leading bank in Asia, Group Strategy, Transformation, Analytics and Research (GSTAR) supports our management on the implementation of the Group’s agenda. Data Management & Governance, organised under GSTAR, is the implementation of enabling infrastructures, policies, practices and procedures that allow the organisation to manage the end-to-end lifecycle of data.

Key Responsibilities

• Support the development of standards, controls, procedures, and accountability frameworks for data governance implementation across the organization.
• Ensure adherence to organization’s data governance framework and provide support in monitoring of data governance framework.
• Track emerging data regulations and trends, conduct gap analyses, and maintain a compliant and contemporary data governance program.
• Lead initiatives to address data issues and ensure effective data management practices.

Requirements

• Bachelor’s Degree or above in related discipline.
• Minimum of 4 years working experience in data management, data governance or project management roles.
• Strong analytical and problem-solving skills.
• Excellent project management skills, including the ability to communicate effectively with stakeholders at all levels.
• A can-do mindset and the ability to work independently and as part of a team.
• Previous experience in establishing and monitoring of data governance framework is highly desirable.

Apply Now

We offer a competitive salary and benefits package and the professional advantages of a dynamic environment that supports your development and recognises your achievements.

We regret only shortlisted candidates will be notified

Associate

Full-time

General Business

Banking and Financial Services