What Jobs are available for Data Streaming in Hong Kong?

Job Title:
ITO – Client Integration Support and Registration - eBanking Products

Location:
Hong Kong

Perm/Contract/ Full-time/Part-time:
Contract- 12 Months

Hybrid/Remote/ Onsite
: Onsite

Who We Are

Robert Walters is the world's most trusted talent solutions business. Across the globe, we deliver recruitment, outsourcing, and talent advisory services for businesses of all sizes, opening doors for people with diverse skills, ambitions, and backgrounds.

Our Outsourcing service delivers recruitment for some of the world's top employers, and we are currently recruiting on behalf of one our client which is the is a French multinational universal bank and financial services holding company. It has a presence in 65 countries, with close to 190,000 employees. It is the largest banking group in Europe, and the ninth-largest banking group in the world (by assets). It was ranked as the 33rd largest public company in the world.

The Role

Our client is seeking a ITO – Client Integration Support and Registration - eBanking Products position in the Global banking division.

This role offers an exciting opportunity to join a global team, providing top-tier service to existing and prospective clients while expanding the business on a product and global level.

The successful candidate will be responsible for acquiring new clients, managing existing relationships, and contributing to the company's mission of becoming a Top Clearer worldwide in commodity markets.

Role objective:

Join the regional team dedicated to onboard and maintain clients for our Supply Chain related of the Global Banking internet eBanking products. Goal is to provide the highest quality of service focused at giving very positive experiences to ebanking clients.

Key Responsibilities

Internet eBanking Application Registration

• Provide fast, accurate registration services for eBanking products. Communications by phone, e-mail, instant messaging, and Jira to our APAC client facing teams, Implementation managers and directly with clients.
• Join on-call -duty rotation roster for providing to fulfil urgent registration related requests.
• Participate in drives to continually innovate and optimize our internet eBanking support and registration activities.
• Be able to work with and accommodate multi-cultural environments and different time-zones.
• Facilitate smooth communications between team members and external teams within the bank.

Communication with Team members in Europe, America, and Asia

• Be able to work with and accommodate multi-cultural environments and different time-zones.
• Facilitate smooth communications between team members and external teams within the bank.

Integration within Internal Teams

• Show excellent team spirit and teamwork with excellent communication skills
• Provide excellence in Quality of Service towards both internal & external clients.
• Integrate internal professional behaviours which are: Commitment, Creativity, Ambition and responsiveness.

Administration/Reporting

• Perform job assigned and provide activity report support requested by the supervisor.
• Participate to meetings organized by the team.
• Inform management about any issues related to the job.

On-call and On-site Support Roster

• Participate in duty roster for Hong Kong holiday and weekend support, working from home or at office.

Requirements/Qualifications:

• Pre-existing experience Cash Management and or Trade, Supply Chain Management an asset.
• Good knowledge of Internet application usage and familiarize with internet security concepts.
• Familiarity with internet security concepts.
• Strong trouble shooting skills and able to provide fast workarounds for clients.
• Ability to prioritize in particular be able to manage and anticipate activity peaks.
• University graduate with at least 3 years relevant banking/related experience in Trade and Supply Chain is a strong asset.
• Good English, communicating with APAC internal users.
• Abilities in spoken and written Mandarin and/or other APAC languages are an advantage.
• Experienced in internet eBanking product setup support is beneficial.
• Experience in ebanking product registration is a strong plus.
• Experience in data entry is great asset.
• Excellent interpersonal skills.
• Strong commitment to work in client focused product support and registration.
• Able to work under pressure and zero error in registrations.

This position is being recruited on behalf of our client through our Outsourcing service line. Resource Solutions Limited, trading as Robert Walters, acts as an employment business and agency, partnering with top organisations to help them find the best talent. We welcome applications from all candidates and are committed to providing equal opportunities.

The client promotes collaboration and aims to provide a supportive and inclusive environment where all individuals can maximize their full potential.

As we are continuously hiring for all our clients in the region, we will retain your CV in our database for any other positions that may fit your profile. Therefore, please let us know if you are not agreeable to that.

Job description:

1. Responsibility for the data operation, include collect, clean, analyze, data mining, provide solutions and analysis reports.
2. Based on the in-depth understanding of the business to provide systematic solutions.
3. Manage and design report indicators, and design multi-dimensional reports.
4. Based on data analysis, discover and summarize valuable information in time, provide support for business decision-making and management, and productize key analysis ideas.

Job requirement:

1. Sensitive to data, good at analyzing, summarizing, and solving problems.
2. Familiar with common data analysis methods and data analysis models.
3. Proficient in SQL and Excel, understand the principle of statistics and data mining theory.
4. Familiar with BI tools for data visualization, such as Tableau 、 PowerBI.
5. Know the common Python functions and how to use them.
6. Experience in data analysis of the Internet industry is preferred.

Job description:

1. Responsibility for the data operation, include collect, clean, analyze, data mining, provide solutions and analysis reports.
2. Based on the in-depth understanding of the business to provide systematic solutions.
3. Manage and design report indicators, and design multi-dimensional reports.
4. Based on data analysis, discover and summarize valuable information in time, provide support for business decision-making and management, and productize key analysis ideas.

Job requirement:

1. Sensitive to data, good at analyzing, summarizing, and solving problems.
2. Familiar with common data analysis methods and data analysis models.
3. Proficient in SQL and Excel, understand the principle of statistics and data mining theory.
4. Familiar with BI tools for data visualization, such as Tableau 、 PowerBI.
5. Know the common Python functions and how to use them.
6. Experience in data analysis of the Internet industry is preferred.

Responsibilities:

-Creates and presents Big Data & AI-related solution designs to customers. Develops and expands existing impactful relationships with customer architects, senior technical decision-makers, and business stakeholders.

-Leverages and champions Alibaba Cloud reference architecture approach to the customers/partners. Proposes and develops new solutions to scale across multiple customers/partners while demonstrating the business case and presenting alternative scenarios.

-Responsible for understanding the unique requirements of customers and partners, and providing appropriate data solutions and architecture designs based on Alibaba Cloud services.

-Help Alibaba Cloud customers and partners migrate their existing Data Analytics system onto Alibaba Cloud platforms. This includes providing migration technique support for both data platforms and applications.

-Acts as the voice of the customers or partners by driving new feedback, gaps, blockers, insights, resources, etc. to internal teams to shape products and services by providing insights across the regions.

-Responsible for demo development and testing Alibaba Cloud services.

Qualification:

-A background in IT, computer science, and/or cloud computing with a good understanding of Big Data & AI technology.

-A minimum of 5 years' experience working and consulting on Data Architecture design and a strong understanding of customer needs and requirements. Experience working or studying abroad is preferred.

-Expert knowledge and understanding of Data Architecture design and familiar with Alibaba Cloud Big Data products and/or open source Big Data technology such as Hadoop, Hive, Spark, Flink, Kafka etc…

-Background and experience in AI/ML technologies.

-Experience in customer-facing pre-sales, technical architecture, or consulting roles.

-Excellent presentation and whiteboarding skills, creating documentation that can express architectures using text and diagrams.

-Able to work under pressure, a quick learner with a passion for cloud technology. Able to think strategically about businesses, products, and technical challenges.

-Good communication skills, a good team player, and a professional attitude to work.

-Fluent English and Mandarin are required, fluent in Cantonese is a strong plus.

-Candidates with Alibaba Cloud certification (ACP or ACE) will be considered first.

-Comfortable with traveling to multiple customer locations

China Unicom (Hong Kong) Operations Ltd is a member of China Unicom that provides telecommunication services in Hong Kong. To cope with our development, we would like to invite high caliber candidates to apply for the following position:

Description:

1. Lead the end-to-end planning and execution of big data R&D projects, including requirements analysis, project planning, resource allocation, progress monitoring, and risk management.

1. Coordinate team members such as data scientists, engineers, and product managers to ensure achievement of project objectives and adherence to quality standards.

2. Regularly report on project progress, communicate with stakeholders, and resolve technical and managerial issues that arise during the project lifecycle.

3. Oversee the efficient use of project resources, optimize team workflows, and improve overall project execution efficiency.

4. Stay updated on cutting-edge technologies and industry trends in the big data domain to provide strategic and technical guidance.

5. Drive collaboration across internal and external departments to ensure successful project implementation and delivery.

6. Organize project reviews and postmortems to extract lessons learned and provide best practices for future projects.

Requirement:

1. Bachelor's degree or above in Network & Communications, Electrical Engineering, Data Science, Computer Science, Statistics, or a related field. Candidates with invention patents or published academic papers are preferred.

1. Possess a global perspective, open and innovative mindset, and familiarity with internet-based thinking. 3. Understanding of scientific innovation ecosystems in Hong Kong, Macao, and related institutions such as universities, industry associations, government bodies, and enterprises is a plus.

2. Over 3 years of experience in scientific research or project-related work, with a solid understanding of research project workflows, application procedures for scientific research grants, and fund management standards. PMP certification is a plus.

3. Strong self-learning abilities and proficient in tools such as PPT, Excel, and large AI models. Able to apply them efficiently in technology innovation tasks. Knowledge in cutting-edge areas like big data, cybersecurity, artificial intelligence, and computing power networks is expected. Proficiency in C++ or Python is preferred.

4. Excellent communication and coordination skills, with the ability to leverage internal and external resources effectively to accomplish tasks. Strong resilience and problem-solving abilities to navigate complex and changing environments.

5. Capable of reading scientific literature and interpreting policies. Must possess bilingual proficiency (Chinese + English) required for working in international environments. Candidates with overseas work experience are preferred.

Full-time,Permanent

AI Engineer/Research Programmers/Research Data Scientist/Big Data engineer

Requirements:

Knowledge in Artificial Intelligence, blockchain and cybersecurity, modern software development, extremely

enthusiastic in programming and learning new technology. smart contract development is an advantage

Knowledge and research experience in various Al algo, Computer Vision, Recommender System, blockchain and Knowledge Graph.

Willing to learn different streams of programming languages and participate in various software system development includes but not limited to Al, web apps, DApp, mobile apps, server system and cybersecurity solutions.

Abilities to work as a team with young teammates and mature supervisor. locally and remotely.

PhD, Master or Bachelor degree in Computer Science, Applied Mathematics, Mathematics, Statistics, Engineering, Technology, Operations Research, Management Science, Knowledge Graph, or any IT or STEM related disciplines.

Result oriented. Flexible working hours acceptable

Working experience: 0 to 5 years

Experience in Education is a plus

"Start-up mentality and self-driven learner is a must.

Working office: Cyberport

Job responsibilities:

(a) Collect internal and external customers business requirement

(b) Prepare functional specifications and test plan

(c) Develop, Implementation of backend applications

(d) Participate in management and operational meetings to report responsible tasks progress and prepare report of meetings

(e) Perform full software development life cycle, design, coding, testing and implementation of backend and frontend system

(f) Compile and analyze data, processes. and codes to troubleshoot problems

(g) Develop administrative interface tor administration and management access

(h) Research on recent development of technology to the adoption on company projects.

(i) Research and publish paper and patent for Al algorithm, included but not limited to Computer vision, Recommender System, blockchain and Knowledge Graph.

(i) Provide IT services to the company when required

(k) Coding with languages such as C#, Python, Tensor flow, R, , Solidity, Java, JavaScript or Go.

Interested parties, please apply together with a detailed resume, stating current and expected salary, and send it via

All personal information received will be treated in strict confidence for employment purpose only. Your application can be

considered as unsuccessful if you have not been reached within 3 months.

On the other hand, it may be transferred to other companies of our group for job openings. Unsuccessful applications will be

destroyed for a period not more than 12 months.

工作類型: 兼職

薪酬: $20,000.00至$32,000.00(每月)

Work Location: 親身到場

預期開始日期: 2025/08/02

Company Description

Oakham Partners is a bespoke recruitment services provider located in Hong Kong. We specialize in providing recruitment solutions for clients ranging from large corporations to SMEs and start-ups. Our expertise and industry knowledge allow us to find the best candidates for our clients' specific needs. We recruit specialists across various professional disciplines and cater to the local recruitment market by focusing on new and emerging areas. Our team of consultants are experts in their respective fields, with many having industry experience within the disciplines they recruit for. Whether it's permanent, contract, or interim professionals, we provide recruitment solutions worldwide.

Job Summary

We are seeking a highly experienced and strategic Data Engineering Lead to oversee the data engineering team and drive the implementation of advanced data and AI initiatives. The ideal candidate will have a strong background in data engineering, with significant exposure to data science and analytics, and a minimum of seven years of experience. This role requires a leader who can provide vision and technical guidance, foster a high-performing team culture, and effectively communicate complex data concepts to both technical and business stakeholders.

Key Responsibilities

Strategy & Leadership

• Provide overall strategic guidance for the data engineering roadmap, ensuring alignment with organizational objectives.
• Lead and mentor a data team, fostering a collaborative and high-performing culture to achieve strategic goals.
• Identify and present the business benefits and value propositions of potential data and AI use cases to stakeholders.
• Review and enhance the data team's operational model in conjunction with stakeholders to optimize efficiency and impact.

Technical Architecture & Development

• Build a scalable data framework using modern Azure technologies, including Azure Data Factory, Databricks, Azure Synapse, and Microsoft Fabric, to support downstream applications.
• Refactor redundant and low-efficiency code from legacy systems or vendors, including data pipelines, PySpark, SQL, and shell scripts.
• Oversee the implementation of AI solutions, to provide data analysis self-service capabilities.
• Ensure the data architecture incorporates core data management competencies, including data governance, data quality, and data security.

Team Coordination & Communication

• Coordinate and oversee the offshore team in Mainland China, ensuring project goals and timelines are met.
• Facilitate effective communication and collaboration between onshore and offshore teams and with other departments.
• Act as a technical liaison, translating complex data concepts for business stakeholders and guiding the team to deliver user-centric solutions.

Qualifications

• Bachelor's degree in a STEM field (Science, Technology, Engineering, or Mathematics) or equivalent experience.
• A minimum of 7+ Years of experience in data engineering, with demonstrated exposure to data science and analytics principles.
• Proven experience providing strategic direction and implementing complex data and AI solutions.
• Hands-on expertise with Azure data services, including Azure Data Factory, Databricks (PySpark), Azure Synapse, and Microsoft Fabric.
• Experience with other relevant technologies, such as SQL Server Integration Services (SSIS), MongoDB, and modern orchestration tools.
• Strong analytical, problem-solving, and leadership skills, with the ability to manage complex projects and mentor junior team members.
• Exceptional communication and stakeholder management skills, with the ability to influence and build consensus across different groups.

Key Responsibilities:

• Lead and mentor a team of data engineers, fostering a culture of innovation and continuous improvement.
• Develop and execute a comprehensive data engineering strategy aligned with the company's goals.
• Collaborate with cross-functional teams to understand data needs and translate them into actionable plans.
• Oversee the design, development, and maintenance of scalable data pipelines and architecture.
• Ensure the implementation of robust data governance practices and data quality standards.
• Evaluate and integrate new technologies and tools to enhance data processing capabilities.
• Manage multiple data engineering projects, ensuring timely delivery and adherence to budgets.
• Develop project plans, timelines, and resource allocation strategies to meet business demands.
• Coordinate with stakeholders to prioritize data initiatives and address any challenges.
• Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions.
• Communicate technical concepts to non-technical stakeholders and advocate for data-driven decision-making.
• Establish metrics and KPIs to measure the effectiveness of data engineering initiatives.
• Conduct regular assessments of data processes and workflows, identifying areas for optimization.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Data Engineering, Information Technology, or a related field.
• 8+ years of experience in data engineering, with at least 3 years in a leadership role.
• Proven experience in building and managing data platforms in a cloud environment (e.g., AWS, Azure, GCP).
• Excellent leadership, communication, and interpersonal skills.
• Strong analytical and problem-solving abilities.
• Ability to work in a fast-paced, dynamic environment and adapt to changing priorities.

Key Responsibilities:

• Lead and mentor a team of data engineers, fostering a culture of innovation and continuous improvement.
• Develop and execute a comprehensive data engineering strategy aligned with the company's goals.
• Collaborate with cross-functional teams to understand data needs and translate them into actionable plans.
• Oversee the design, development, and maintenance of scalable data pipelines and architecture.
• Ensure the implementation of robust data governance practices and data quality standards.
• Evaluate and integrate new technologies and tools to enhance data processing capabilities.
• Manage multiple data engineering projects, ensuring timely delivery and adherence to budgets.
• Develop project plans, timelines, and resource allocation strategies to meet business demands.
• Coordinate with stakeholders to prioritize data initiatives and address any challenges.
• Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions.
• Communicate technical concepts to non-technical stakeholders and advocate for data-driven decision-making.
• Establish metrics and KPIs to measure the effectiveness of data engineering initiatives.
• Conduct regular assessments of data processes and workflows, identifying areas for optimization.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Data Engineering, Information Technology, or a related field.
• 8+ years of experience in data engineering, with at least 3 years in a leadership role.
• Proven experience in building and managing data platforms in a cloud environment (e.g., AWS, Azure, GCP).
• Excellent leadership, communication, and interpersonal skills.
• Strong analytical and problem-solving abilities.
• Ability to work in a fast-paced, dynamic environment and adapt to changing priorities.