What Jobs are available for Etl Architect 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.

A leading global quantitative trading firm is seeking a Data Integration Specialist to join its data platform team.

Operating across all major asset classes worldwide, the firm applies a scientific, technology-first approach to systematic investing.

As part of this team, you'll play a critical role in building and maintaining the data infrastructure that powers trading and research.

What you'll do:

• Manage and optimise large, diverse datasets (structured and unstructured)
• Design and implement APIs and scalable data stores
• Monitor fetching processes and ensure data quality
• Integrate alternative and market datasets into research and trading workflows
• Support quants and traders with reliable, fast access to data

What we're looking for:

• 2+ years of experience in data engineering, integration, or a related field
• Strong Python skills, plus SQL and relational database knowledge
• Excellent communication skills in English
• Curiosity and drive to learn new technologies
• Ability to work independently within a global team

Desirable:

• Experience with financial/market data and vendor feeds
• Knowledge of equity or derivatives datasets
• Prior experience managing large-scale data pipelines

This is a chance to work at the core of a global trading operation, building the systems that enable some of the most advanced systematic strategies in the world.

Leading industry compensation & relocation on offer

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.

TTI is currently seeking a Data Architect to help manage and develop our guidelines, governance and architecture of data platforms for Asia offices.

Responsibilities:

• Lead and manage projects including data governance, data sharing and data flow process
• Work closely with the business user to enhance existing tools and data solutions supporting business and reporting needs
• Design, establish, maintain and improve data infrastructure for the company
• Define and manage efficient data flows across entire company
• Design optimal data framework and standards for the team to follow
• Work with regional stakeholders for multi cloud-platform data sharing
• Participate in the project life cycle, prepare project & resources plan, manage project progress, facilitate and support SIT, UAT and documentation
• Follow relevant policies, procedures and guidelines in performing the responsibilities to ensure company standards and local regulatory requirements are met
• Manage and coordinate with users, vendors and internal teams to deliver the project goals
• Conduct data quality assurance and progress meetings to ensure the quality of deliverables within the agreed scope, budget, resources and schedule
• Identify, prioritize and resolve issues that occur at all stages of the project. Escalate project issues to Department Head
• Occasional travel to our world-class factories is required as needed

General Skill & Experience Requirements:

• Degree holder in Computer Science, Information Technology, Statistics or other related disciplines
• Must possess a minimum of 5 years of experience in data engineering projects including 2 years of experience as Data Architect
• Relevant experience in manufacturing industry is an advantage
• Ability to align data architecture with long-term business objective
• Good command of written and spoken English and Chinese
• Good communication, analytical and problem solving skills
• Self-motivated, independent, hardworking and able to work under pressure as well as good team player

Data Architect Skillset:

• Extensive experience with Cloud Data Platform (i.e. Databricks, Microsoft Fabric etc.)
• Extensive experience in Database management (i.e. MS SQL/Oracle ERP and DB etc.)
• Proficiency in languages like Python and Java
• Experience data warehousing principles for storing and managing large volumes of data from various sources
• Establish data governance, compliance and security measures to ensure data is protected and private
• At least 5+ years SQL experience
• At least 5+ years Python experience

Preferable Technical Skillset:

• Experience with data solutions with hybrid data infrastructure and sources
• Experience in big data and streaming data is a plus
• Experience in machine learning and AI projects is a plus
• Excellent written and verbal communication skill
• Ability to work effectively with remote teammates and users
• Domain knowledge on manufacturing sector is a plus
• Understanding process engineering concepts and measurements is a plus

We offer 5-day week, competitive remuneration package including double pay, medical, life & personal accident insurances, education sponsorship and good career prospects to the right candidate. Interested parties please send your resume with expected salary by clicking Quick Apply.

(All personal data collected would be used for recruitment purpose only)

Data Architect & Data Engineer / Commercial / Perm

Join a leading company to design and manage robust data solutions for AI-driven customer platforms, contributing to innovative projects across APAC with a focus on data pipelines, governance, and cloud infrastructure.

Key Responsibilities:

Data Engineer:

• Develop and monitor data pipelines, create scripts (Python, Java) for data transformation, and optimize cloud-based data assets to support reporting and business needs.
• Conduct unit testing, troubleshoot issues, and maintain technical documentation for data delivery solutions.

Data Architect

• Lead data governance, sharing, and flow projects, designing efficient data frameworks and standards for multi-cloud platforms.

• Manage project lifecycles, coordinate with stakeholders, ensure compliance with data security policies, and oversee SIT/UAT processes.

• Collaborate with business users and regional teams, provide ongoing maintenance, and occasionally travel to world-class facilities as needed.

What We're Looking For:

• Bachelor's degree in Computer Science, IT, Statistics, or related field
• Data Engineer
  : 2-4 years in data engineering, proficient in SQL, Oracle DB, Python, Java, ETL processes, and cloud data platforms (e.g., Databricks); manufacturing domain knowledge (preferred)
• Data Architect
  : 5+ years in data engineering, including 2 years as a Data Architect, with expertise in cloud platforms (e.g., Databricks, Microsoft Fabric), database management (MS SQL, Oracle ERP), data warehousing, and governance
• Both Roles
  : Strong Python, SQL, and cloud platform skills; experience in AI/ML projects and big data/streaming (preferred)
• Willingness to business travel to SEA & China

Argyll Scott Asia is acting as an Employment Agency in relation to this vacancy.

Argyll Scott Asia is acting as an Employment Agency in relation to this vacancy.

Responsibilities

• Design and manage a robust enterprise data model and feature stores to enhance product quality, ensuring safety, reliability, cost efficiency, and superior user experiences through scalable, reusable patterns that accelerate deployment.
• Lead the creation of high-quality design deliverables and documentation for the data architecture, enabling streamlined development and deployment of data-driven solutions.
• Govern a diverse set of components, including data ingestion patterns, Data Catalog, Feature Stores, Data Warehouse/Lake/Delta Lake/Marts, Reporting & Visualization, AI (including GenAI) solutions, model libraries, and data scientist workbenches, to support innovative and efficient data operations.
• Develop architectural blueprints and compile architecture summaries for leadership and executive stakeholders.

Skills Reqd

• Bachelor Degree in Computer Science or related disciplines.
• 10+ years of expertise in analyzing, designing, and developing architectures for Data & Analytics systems, with consultancy experience in architecture projects being a significant benefit.
• Proficient in a wide range of Data & Analytics technologies, including Datalake/Lakehouse/Deltalake, Azure-based cloud solutions, Reporting & Visualization.
• Skillfully identifies technical debt in existing systems, spearheading decommissioning strategies and design enhancements to effectively address and resolve issues.
• Demonstrates strong peer leadership by influencing others and applying structured thinking to distill complex challenges into clear, actionable solutions.
• Experience working on systems in China.

Job Responsibilities

• Designing and implementing data analytics frameworks that leverage data for strategic decision-making across business units.
• Modernizing our data platforms by assessing and upgrading existing infrastructure to ensure scalability and agility-integrating the latest technologies for streamlined processing and storage.
• Architecting scalable service platforms that enhance user experience by leading the integration of cloud solutions.
• Driving strategic planning to align IT architecture with business goals, identifying risks, and driving innovation through emerging technologies.

Job Requirements:

• Bachelor's Degree in Computer Science, Data Science, IT, Electronic Engineering, or related fields.
• 3-5 years of hands-on experience in implementing data warehouse, data lake, or big data solutions.
• Strong knowledge of project management methodologies (like Scrum or Jira).
• Proficiency in big data technologies and related open-source packages (e.g., MS CI, Kafka, Hadoop, Spark).
• Solid understanding of the latest market, innovation, and technology trends.
• Experience with programming languages like Python and Java.
• Knowledge of PaaS, VM, Unix, and Linux operating systems.
• Ability to communicate effectively in English and Mandarin.

About the Role:

We're looking for an experienced and meticulous Systems Data Architect to join our Systems Team in Hong Kong to develop, optimize, and oversee our company's conceptual and logical data systems. Your duties may include preparing data reports, monitoring the system, and supervising system migrations.

To succeed in this role, you should know how to examine new data system requirements and implement migration models. The ideal candidate will also have proven experience in data analysis and management, with excellent analytical and problem-solving abilities.

Responsibilities:

• Working closely with our Digital Project Manager, play a key role in overseeing new features and functionality from user requirements scoping to execution.  This involves thorough QA and testing of deliverables that are produced by developers/vendors before they are presented for sign-off
• Design and implement effective database solutions to store and retrieve company data for various internal stakeholders including marketing team, finance team, sales team and operations team
• Examine and identify database structural necessities by evaluating our operations, applications, and programming
• Prepare accurate database design and architecture reports for management and executive teams.
• Work closely with our Digital Project Manager, recommend system improvements and oversee the migration of data from legacy to new systems
• Monitor the system performance by performing regular tests, troubleshooting, and integrating new features
• Maintain up-to-date project and task records in order to provide status updates to relevant internal teams and management
• Provide timely support and educate staff members through group or individual training

Requirements:

• 5+ years of experience in data analytics and systems implementation
• Excellent interpersonal and communication skills with attentive, confident and professional personality
• Solid organizational skills, superior attention to detail and strong multitasking abilities which enable the completion and juggling of many tasks and responsibilities in a fast-paced environment. Nothing ever slips through the cracks on your watch
• Ability to think outside the box and find effective solutions
• Adept at investigating problems and fixing them in the most efficient way possible
• Knowledgeable in Power BI or equivalent, SQL, relational databases, plus one or more programming languages.Any prior experience with Microsoft ERP an advantage
• Innovative, self-motivated and passionate individual with strong analytical and problem-solving skills

About the Role:

We're looking for an experienced and meticulous Systems Data Architect to join our Digital Platforms Team in Hong Kong to develop, optimise, and oversee our company's conceptual and logical data systems. Your duties may include preparing data reports, monitoring the system, and supervising system migrations.

To succeed in this role, you should know how to examine new data system requirements and implement migration models. The ideal candidate will also have proven experience in data analysis and management, with excellent analytical and problem-solving abilities.

Responsibilities:

• Work closely with our Digital Platforms team and play a key role in overseeing new features and functionality from user requirements scoping to execution. This involves thorough QA and testing of deliverables that are produced by developers/vendors before they are presented for sign-off
• Design and implement effective database solutions to store and retrieve company data for various internal stakeholders including marketing team, finance team, sales team and operations team
• Examine and identify database structural necessities by evaluating our operations, applications, and programming
• Prepare accurate database design and architecture reports for management and executive teams.
• Recommend system improvements and oversee the migration of data from legacy to new systems
• Monitor the system performance by performing regular tests, troubleshooting, and integrating new features
• Maintain up-to-date project and task records in order to provide status updates to relevant internal teams and management
• Provide timely support and educate staff members through group or individual training

Requirements:

• 8+ years of experience in data analytics and systems implementation
• A degree preferred in IT, Data Science or Computer Science disciplines
• Excellent interpersonal and communication skills with attentive, confident and professional personality
• Solid organizational skills, superior attention to detail and strong multitasking abilities which enable the completion and juggling of many tasks and responsibilities in a fast-paced environment
• Ability to think outside the box and find effective solutions
• Adept at investigating problems and fixing them in the most efficient way possible
• Knowledgeable in Power BI or equivalent, SQL, relational databases, plus one or more programming languages. Any prior experience with Microsoft ERP an advantage
• Innovative, self-motivated and passionate individual with strong analytical and problem-solving skills

Benefits:

• Regional exposure to multiple markets in APAC
• Competitive compensation
• Health care coverage
• Company-wide outings and retreats