What Jobs are available for Database Specialist in Hong Kong?

Our client, a leading trading firm, is known for its innovative investment strategies and data-driven approach. They are seeking a talented Database Engineer to join their dynamic team in Hong Kong. This role is essential for optimizing their database systems and ensuring data integrity across our platforms. The Database Engineer will be responsible for the design, implementation, and maintenance of their database systems, with a focus on SQL Server and PostgreSQL. The ideal candidate will possess strong technical skills, a deep understanding of database architecture, and a commitment to enhancing data performance and reliability.

The role:

• Design, implement, and maintain robust database solutions that meet the needs of various applications and data workflows.
• Monitor and optimize database performance, including query tuning, indexing strategies, and system configurations.
• Ensure data integrity and security by implementing best practices for backup, recovery, and access control.
• Work closely with application developers, data analysts, and other stakeholders to understand data requirements and provide technical support.
• Plan and execute database migrations and upgrades, ensuring minimal disruption to operations.
• Create and maintain comprehensive documentation of database architectures, processes, and policies.
• Diagnose and resolve database-related issues promptly, implementing solutions to prevent recurrence.
• Identify opportunities for process improvements and contribute to the development of best practices within the database team.

What you offer:

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• 3+ years of experience as a Database Engineer or in a similar role, preferably within a financial services
• Strong experience with SQL Server, including database design, stored procedures, and performance tuning.
• In-depth knowledge of PostgreSQL, including configuration, optimization, and advanced features.
• Proficiency in SQL and experience with scripting languages (e.g., Python, Bash) to automate database tasks.
• Excellent analytical and troubleshooting skills, with a proactive approach to identifying and resolving issues.
• Strong verbal and written communication skills, with the ability to collaborate effectively with technical and non-technical teams.
• Meticulous attention to detail and a commitment to delivering high-quality results.

The sell:

• Competitive salary and performance-based bonuses.
• Comprehensive health and wellness benefits.
• Opportunities for professional development and career advancement.
• A dynamic and inclusive work environment at a leading global trading firm

Database:

Responsibilities:

Manage and monitor the private Cloud Database environment. Provide 24x7 supports for Cloud Database System.

Design and implement scalable database architectures on cloud platforms.

Manage and optimize TDSQL, MySQL, MongoDB, Oceanbase and Redis  databases.

Requirements:

Bachelor's degree in Computer Science, Information Technology, or a  related field.

2+ year proven experience with TDSQL, MySQL, MongoDB, Oceanbase and Redis.

Strong understanding of cloud platforms.

Experience in database performance tuning and optimization.

Familiarity with data modeling and database design principles.

++

Network

Responsibilities:

Manage and monitor the private Cloud environment network. Provide 24x7  supports for network.

Mainly responsible for network infrastructure (CiscoHuaweiJuniper)  installation configuration, administration, monitoring and health check,  traffic analysis ,troubleshooting and problem

resolution.

Work closely with vendors/internal/external parties for implementation.

Troubleshoot and resolve Cloud network-related issues in a timely manner.

Requirements:

Higher Diploma in Computing and Information Security holder in information technology or above in Telecommunications, Computer Sciences or equivalent.

3+ years hands-on experience in networking.

Good understanding of IP & Ethernet Technologies including Routing

Protocols, BGP, IGP, ISIS, OSPF, VLAN, IP addressing.

Self-motivated and able to work under pressure.

About the role

Join our dynamic team at HongKe Technology Co., Limited as a Database Operations Engineer. In this role, you will be responsible for ensuring the smooth and efficient operation of our database infrastructure, supporting the critical information systems that power our business. You will play a key part in maintaining the reliability, security, and performance of our database systems.

What you'll be doing

1. Assist clients in the consultation and technical guidance for database software implementation. Based on client requirements, help design feasible technical solutions (MySQL, Oracle, PostgreSQL, Redis) and work closely with sales, marketing, and technical departments to drive project execution.
2. Perform functional testing, troubleshoot issues, and establish reporting mechanisms according to client needs.
3. Conduct technical prototype design, testing, and simulation of application scenarios, write user manuals and technical documentation, and clearly present to non-technical clients through presentations and explanations.
4. Participate in exchanges and learning with domestic and international technical experts to continuously improve database architecture design and maintenance capabilities.
5. Based on product knowledge and accumulated use cases, write technical articles about the product and lead product technical training, briefings, and seminars.

What we're looking for

1. Bachelor's degree in STEM or related field; 3-5 years relevant experience.
2. Basic IT and database knowledge including network setup and operations.
3. Experience with common databases such as MySQL, Oracle, PostgreSQL, Redis.
4. Strong communication skills to support sales and marketing teams.
5. Quick learner with good logic thinking, familiar with AI tools to boost work efficiency.

If you're passionate about database operations and eager to join a dynamic and forward-thinking technology company, we encourage you to apply for this exciting opportunity. Click the "Apply now" button to submit your application and take the first step towards a rewarding career at HongKe Technology Co., Limited'.

5-day work, 14-20 days AL, Double Pay, Discretionary Bonus, Group medical insurance

Improve data management across Yusen Logistics group data platforms

This job is for whom Interest in innovative & latest Data Engineering. And the talent who is with proven ability to identify innovation opportunities and deliver innovative data management solutions

• SSOT & Master Data Management Implementation:

• Lead the design, implementation and deployment of a Single Source of Truth (SSOT) architecture to enable data sharing across different regions, business units and departments

• Operationalize the SSOT, serving as an Enterprise Centralized Data Repository, to enforce essential governance controls at a global level
• Manage master data and implement Customer 360

• Data Quality Management:

• Engage with key data stakeholders to outline data objectives and gather data requirements. Execute solutions encompassing ownership, accountability, streamlined processes, robust procedures, stringent data quality measures, security protocols, and other pertinent areas to drive successful implementation

• Identify and build data quality rules, investigate and remediate data quality issues
• Design and build data quality dashboards with Power BI

• Data Projects:

• Collaborate with data analysts, data stewards and business stakeholders to understand their data requirements and translate them into technical specifications

• Manage vendors to complete data governance activities, from vendor selection, data discovery, Proof of Concept (PoC) development, implementation to global adoption
• Conduct market research and collaborate with vendors to evaluate cutting-edge data management technologies, trends, and products. Select and deploy the most suitable solutions for Global Data and Analytics Governance initiatives, ensuring seamless scalability
• Data Forum: Organize Global Data Quality Forum and Global Data Architecture Review Forum

Requirement:

• Bachelor's degree from a recognized university in Computer Science, Information Engineering, or related field
• At least 3 years of experience in Data Engineering, or related field
• Knowledge of data management best practices and technologies
• Proven ability to identify innovation opportunities and deliver innovative data management solutions
• Hands-on experiences in SQL and Power BI
• Fluent in English speaking and writing
• Excellent analytical and problem-solving skills
• Energetic, proactive adaptive problem solver, organized, flexible and comfortable navigating through ambiguity
• Sometimes Business Travel is needed

Interested parties please send full resume with employment history and expected salary to HRA Department, Yusen Logistics Global Management (Hong Kong) Limited by email.

Yusen Logistics Global Management (Hong Kong) Limited is an equal opportunity employer. All information collected will be used for recruitment purpose only.

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About Yusen Logistics

Yusen Logistics is working to become the world's preferred supply chain logistics company. Our complete offer is designed to forge better connections between businesses, customers and communities – through innovative supply chain management, freight forwarding, warehousing and distribution services. As a company we're dedicated to a culture of continuous improvement, ensuring everyone who works with us is committed, connected and creative in making us the world's preferred choice.

Location:

Hong Kong, Central and Western District

Team:

Data Management

Job Requisition #: R

Date posted: Sep. 30, 2025

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

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.

Environmental, Social, and Governance (ESG) data is increasingly crucial for our clients – providing deeper intelligence than conventional financial analysis alone. Climate change, regulatory pressures, the importance of human capital, and diversity are just a few critical factors global investors consider to best identify emerging risks and opportunities. At Bloomberg, ESG data is displayed alongside fundamental data, backed by news for context, and used to power a growing suite of Sustainable Finance products.

Our Team
As a team, we are responsible for managing and enhancing ESG-related content for the Bloomberg Terminal and Enterprise products, including company-reported and normalized metrics, key analytical ratios, industry-specific metrics, and proprietary scores. Joining the Data department means that you are a part of one of the world's leading sources of data, providing accurate, immediate insights for financial market professionals. You will enhance your product knowledge, learn about our clients and their needs, and build relationships throughout the company, all while helping our clients integrate ESG risk and opportunity analysis into their workflows.

The Role
The Sustainable Finance Data team is looking for a highly motivated individual with a passion for sustainable finance, ESG data, quality, and technology to strengthen our data products by driving the implementation of robust data quality strategies and assurance practices. As a Senior Data Management Professional, you will help develop our business outcome-based data strategies to optimize the value of data for our customers and improve data operations. You will apply your problem-solving skills to design and refine quality control processes, ensure data integrity, and support automation of validation workflows to scale effectively. Additionally, you will measure and articulate the impact of your initiatives using business intelligence tools and data quality metrics. This role offers the opportunity to lead global quality initiatives, collaborate with cross-functional teams, and mentor junior colleagues developing in data quality and stewardship.

We'll Trust You To

• Define and execute a comprehensive strategy to achieve best-in-class data quality for ESG data, with a strong emphasis on as-reported disclosures and point-in-time accuracy
• Conduct data profiling and apply statistical analysis to measure, monitor, and enhance data quality across key ESG data sets and products
• Collaborate with domain experts in Data, as well as colleagues in Product, Enterprise and Engineering, on implementation scalable, data-driven quality solutions
• Lead initiatives to improve data quality across global datasets, incorporating regional assurance frameworks with a focus on APAC market nuances and local reporting standards
• Apply a subject matter expertise in as-reported ESG data structures, ensuring accuracy across point-in-time series, disclosure timelines, and evolving regulatory requirements
• Provide insights and recommendations to enhance decision making capability in business planning, process improvement, and solution management
• Educate and empower colleagues in industry principles of data quality, in order to elevate awareness, appreciation and application of best practices more broadly
• Keep up with the industry trends, standards, and innovation in the data quality domain and ESG data standards to continuously refine strategies and maintain competitive edge
• Work in a fast-paced, multifaceted, and collaborative setting

You'll Need To Have

• Excellent written and verbal language proficiency in English and Korean as you will cover Korean content
• A BA/BS degree or higher in Computer Science, Mathematics, Finance, Economics, Environmental Science, or a related field—or equivalent professional qualifications
• 4+ years of experience in data quality management, quality assurance, or data governance within the finance or technology industry
• Demonstrated experience developing data quality metrics, reporting frameworks, and governance processes as part of larger data architecture initiatives
• Strong knowledge of data management principles, including data modeling, ETL processes, and workflow design
• Proficiency in data analysis and profiling using tools such as Python, R, SQL, and BI platforms, with the ability to identify data quality issues and generate actionable insights
• Foundational understanding of statistics and the ability to interpret data to inform business decisions and craft compelling narratives
• Excellent written and verbal communication skills, strong attention to detail, and effective problem-solving abilities
• Proven ability to manage multiple global projects in parallel and collaborate effectively with cross-functional stakeholders
• A strong ability to combine technical skills with business insight to improve data quality and operational outcomes
• Demonstrated continuous career growth within an organisation

We'd Love To See

• Strong knowledge and understanding of the Sustainable Finance market and sustainability related topics, with preference for experience working with a range of disclosure frameworks and standards, including but not limited to TCFD, ISSB, GRI
• Experience profiling datasets and coming up with necessary requirements
• Good understanding of data modeling concepts
• Experience manipulating and wrangling large datasets
• Familiarity with use cases of advanced statistical methods such as Machine Learning, Artificial Intelligence, and Natural Language Processing

Does this sound like you?

Apply if you think we're a good match. We'll get in touch to let you know what the next steps are

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.

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.