69 Mongodb jobs in Hong Kong

Experience Level: (Senior)

Key Responsibilities:

• Design, implement, and maintain MongoDB databases to ensure high availability, scalability, and performance.
• Optimize database queries, indexes, and schemas for maximum efficiency.
• Monitor database health, troubleshoot issues, and ensure data security and integrity.
• Implement backup, recovery, and disaster-recovery strategies.
• Collaborate with developers to design efficient data models and ensure best practices.
• Configure and manage MongoDB clusters (replica sets, sharding).
• Stay updated with the latest MongoDB features and industry trends.
• Document database architecture, processes, and procedures.

Required Skills & Qualifications:

• Proven experience as a MongoDB Developer/Administrator or similar role.
• Strong expertise in MongoDB querying, aggregation, indexing, and performance tuning.
• Experience with MongoDB Atlas, Ops Manager, or Compass.
• Knowledge of database security, replication, and sharding.
• Familiarity with NoSQL database design principles.
• Proficiency in backup, restoration, and migration strategies.
• Experience with Linux/Unix environments and scripting (Bash, Python, or JavaScript).
• Understanding of cloud platforms (Azure, AWS, GCP) is a plus.
• Strong problem-solving and communication skills.

Nice to Have:

• MongoDB certification (e.g., MongoDB Certified Developer or DBA).
• Experience with other databases (e.g., PostgreSQL, MySQL, Redis).
• Knowledge of Docker, Kubernetes, or DevOps practices.

Interested parties please send your CVs to Or call at for more details

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'.

Assistant Data Management & Analytics Manager (Ref: RY)

Responsibilities

• Supervise data analytics requests from various business units, ensure timely processing and delivery of insights.
• Analyze complex datasets to extract actionable insights, identify trends and patterns that support business objectives.
• Present analytical findings and recommendations to stakeholders, facilitate data-driven decision-making.
• Develop and implement data-driven solutions to improve customer experience or enhance efficiency.
• Support the planning, execution, and monitoring of data analytics projects, ensure alignment with business goals and timelines.

Requirements

• Degree in Data science / Statistics / Business Analytics / Information Management or a related discipline
• At least 5 years' relevant experience in data management, analysis or business intelligence, of which at least 1 year should be at supervisory level
• Proficiency in Python, SQL, and data visualization tools such as Power BI
• Familiar with web scraping, Power Automate, statistical modeling, or AI/ML is an advantage
• Strong commercial mindset and ability to translate data-driven insights into practice
• Excellent interpersonal and influencing skills, with proficiency in both written and spoken English and Chinese
• Strong logical thinking, problem solving skills, and project management abilities.
• Possess a can-do attitude and a quick learner of new technologies.

Applications

You are invited to apply online via or send in your CV stating the position (with reference number) you are applying for by mail to Human Resource Management Department, MTR Corporation, G.P.O. Box 9916, Hong Kong on or before 4 September 2025.

For other job openings, please visit MTR Corporation's website for more details. All information provided by applicants will be treated in strict confidence and used for recruitment purpose only.

All personal data of unsuccessful applicants will be retained for 12 months for future recruitment purpose and will then be destroyed.

Primary Location: Hong Kong

Schedule: Full-time

Job Posting: 22/Aug/25, 2:20:26 AM

Closing Date: 04/Sep/25, 10:59:00 AM

Job Number: RY

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.