What Jobs are available for Data Integration in Hong Kong?

System Analyst, Data Integration, API design

Your New Company

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

Your New Role

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

What You'll Need to Succeed

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

What You Need to Do Now

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

System Analyst, Data Integration, API design

Your New Company

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

Your New Role

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

What You'll Need to Succeed

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

What You Need to Do Now

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

Client
: Investment Management

Location
: Hong Kong

Role
: Permanent

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

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

You will

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

Backend Services & Pipelines

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

AI Integration

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

Infrastructure & Operations

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

Looking for:

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

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

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.

Description
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we're looking for talented people who want to help.

You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.

The Data Center Engineering Operations (DCEO) Team is the backbone of AWS Infrastructure Operations organization supporting the rapid growth of our business and customers 24x7. We commit to maintain the critical facility infrastructure of AWS and ensure the highest standards of operational performance in the aspects of safety, security, availability, productivity, capacity and efficiency.

We are looking for a proven Data Center Engineering Operations (DCEO) Engineer with experience in critical facilities management, and a result-driven individual with strong technical understanding and the drive and vision to take our data center operations to the next level. The role will be reporting to the DCEO Cluster manager, and is responsible for ensuring high infrastructure availability, conducting risk assessment and mitigation, executing corrective and preventative maintenance of critical infrastructure and reporting accurate metric.

Key job responsibilities

• Serve as the primary business interface with the Colocation provider's technical and facility teams to address day-to-day operational requirements within the Availability Zone (AZ);
• Supervise the on-site Colocation providers and respective contractors, to ensure all works performed is complied with established practices, procedures & local legislation;
• Manage Colocation suppliers to conduct routine maintenance, and respond to emergency services for critical systems including switchgear, generators, UPS systems, power distribution equipment, chillers, cooling towers, computer room air handlers, building monitoring systems, etc.;
• Generate change management requests & incident management tickets for Data Center facility;
• Engage in non-office on-call responsibilities and respond promptly to emergency situations or incident, such as power failures or natural disasters, and review to refine the established Emergency Operations Procedures to effectively handle these situations;
• Deeply involve with Colocation provider and contractors to resolve infrastructure engineering issues and conduct root cause analysis for operational issues;
• Establish comprehensive English documentation to business & facility operations in partnership with the Colocation provider;
• Constantly explore and recommend improvements to enhance the data center safety, security and availability;
• Maintain accurate and up-to-date Data Center infrastructure inventory through related matrices and internal dashboards
• Take charge of the installation of the racks and conduct the rack space, power/cooling assessment;
• Lead new build and expansion projects to improve the operations efficiency, including the design, implementation, and commissioning phases;
• Assist in internal recruitment including conducting interviews and assisting with onboarding.

A day in the life

Also expected from the DCEO is the ability to execute small-to-medium impacting projects from conception to completion. These projects involve moderate amounts of independent work as well as collaboration with external support groups including engineering, automation, processing, and finance in controlled environments. The DCEO will be tasked with creating and delivering on key milestones, obtaining and tracking quotes for all necessary costs, and documenting project results. The goals of such projects are to drive innovation and resiliency while reducing operational costs in the facilities.

• Providing timely escalation for all facilities-related issues within the data center
• First-line troubleshooting and reporting of facility and high-criticality events within a pre-determined service level agreement (SLA)
• Providing assistance to junior and peers
• Oversight of third-party vendors to ensure that all work performed is in accordance with established safety protocols, best practices, and local legislation
• Utilization of administrative tools for change management, ticketing, and asset management.
• Supporting project/stakeholder team and vendor activities
• Overseeing of all Commissioning activities
• Completion of assigned project tasks and managing associated reporting metrics
• Engagement of other supporting teams for issue resolution
• Ensuring compliance of AWS Data Center safety and security protocols
• Involve in day-to-day data center facility operations work including facility change management
• Involve in vendor management and technical consultation work
• Review emergency and standard operating procedures
• Participate in facility event analysis
• Participate in emergency drills and emergency facility event response
• Participate in local and global facility operations-related projects
• Participate in multiple cross-team trainings
• Be provided an opportunity to drive operational excellence and better customer experience.

About The Team
Diverse Experiences

Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.

Why AWS

Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Work/Life Balance

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.

Inclusive Team Culture

Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship and Career Growth

We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Basic Qualifications

• High Diploma or Bachelor's Degree in Electrical Engineering, Mechanical Engineering or relevant discipline;
• Experience with operation and maintenance of data centers, or Mission Critical facility management experience for a large enterprise or large Colocation provider;
• Good work attitude and eagerness to learn, with deep attention to details and accuracy; also possess strong problem-solving skills and strong ability to work independently and take initiative, while also being a collaborative team player who can work effectively with others.

Preferred Qualifications

• Minimum 3 years of relevant work experience with facility management, and operating and maintaining infrastructure equipment in critical facilities such as datacenters, operation factories, substations, hospitals, etc.;
• Proficient in comprehending electrical systems (HV/MV supply system of power substations, transformers, switchgears, VFI-class UPS, PDU, ATS, STS or VRLA battery, Li-ion battery and related systems, fuel systems related to diesel generators, surge control circuits, active harmonic filters, battery monitoring systems, branch circuit monitoring systems, SCADA systems), or possess the ability to understand mechanical systems (CRAC/CRAH, AHU, chillers, cooling towers, thermal buffer tanks, heat exchangers, plumbing systems, pumps, valves, duct systems, fans, dampers, fire detection and extinguishing systems, drainage systems, building monitoring systems, automatic control systems);
• Proven experience in major facilities incident management;

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Company
- Amazon Data Services Hong Kong Limited

Job ID: A