Location:
CN-Shenzhen-HyQ
Shift:
Standard - 40 Hours (China)
Scheduled Weekly Hours:
40
Worker Type:
Permanent
Job Summary:
We are embarking on an exciting transformation of HKEX’s data landscape, streamlining how data is managed, accessed, and used across the organization. Our goal is to empower HKEX’s staff and clients with smarter, faster, data driven insights that elevate efficiency and strengthen business performance. To help drive this mission forward, we are seeking an experienced engineering lead to join our Data Platform Engineering team.
As the lead of application engineering, you will act as the foremost technical expert in the Data Engineering Team under Chief Data Office, serving as the primary source of deep technical knowledge and guidance. You will drive the application development strategy for the team, leading a subgroup focused on building and maintaining robust web portals, integrations, and visualization tools. Leveraging your expertise in React, Python, and Docker based environments, you will ensure the delivery of high quality, containerized applications that power our big data ecosystem. This role requires a strong balance of hands on development, technical leadership, and mentorship.
Job Duties:
Key Responsibilities
- Lead the design, development, and deployment of our big data platform web portal using React for user interfaces and Python for backend logic, ensuring end-to-end functionality.
- Manage Docker environments for containerization, orchestration, and deployment of applications, optimizing for performance, security, and scalability in a private cloud setup.
- Oversee integrations and data‑feed ingestion across all upstream sources, including Huawei CDM, SharePoint, portal APIs, and other enterprise systems, ensuring seamless data handling for big data workflows, Tableau visualizations, and Open Metadata implementations for comprehensive lineage tracking.
- Provide technical guidance and mentorship to a team of developers, fostering best practices in full-stack development and agile methodologies.
- Collaborate with data ingestion and SRE teams to ensure compatibility with broader data pipelines and infrastructure, without direct involvement in data engineering tasks.
- Conduct code reviews, troubleshoot issues, and implement CI/CD pipelines to streamline development workflows and continually improve team efficiency.
- Stay current with emerging technologies in full‑stack development, containerization, and data visualization, including advancements in big data streaming frameworks, AI‑driven development capabilities, and modern visualization tools, to drive continuous improvement across the data engineering stack. Lead the team in exploring and executing innovative initiatives.
Required Qualifications
- Bachelor’s degree in computer science, software engineering, or a related field (or equivalent experience).
- 8+ years of professional experience in full-stack development, with proven expertise in React (frontend) and Python (backend).
- Proven experience integrating RESTful APIs and working with backend systems, including hands‑on exposure to microservices architecture, API gateways, and API documentation standards such as Swagger/OpenAPI.
- Strong hands-on experience managing Docker environments, including container orchestration (e.g., Docker Compose, Kubernetes basics).
- Familiarity with web portal development frameworks, API integrations (e.g., SharePoint for big data), data visualization tools (e.g., Tableau), and metadata management (e.g., Open Metadata).
- Demonstrated leadership as an SME in application development, with experience guiding small teams or projects.
- Excellent problem-solving skills, with the ability to handle complex, front-to-back application architectures.
- Strong communication skills to collaborate across teams and articulate technical concepts to non-technical stakeholders.
Preferred Skills
- Experience in big data environments or integrations with tools like Hadoop, Spark, Trino, etc.
- Knowledge of cloud infrastructure (private or hybrid) and SRE principles, along with experience working with major cloud platforms such as AWS, Azure, or Huawei HCS.
- Familiarity with agile/Scrum methodologies and tools like Jira or Git.
- Experience with data visualization tools such as Tableau or similar libraries.
- Familiarity with SSO and authentication flows, e.g. Keycloak, OAuth, OIDC
Company Introduction:
ITD SZ
港交所科技（深圳）有限公司，是2016年12月28日于深圳市前海自贸区成立的外商独资企业。
作为港交所的技术子公司，港交所科技（深圳）有限公司主要是为集团及其附属公司提供计算机软件、计算机硬件、信息系统、云存储、云计算、物联网和计算机网络的开发、技术服务、技术咨询、技术转让；经济信息咨询、企业管理咨询、商务信息咨询、商业信息咨询、信息系统设计、集成、运行维护；数据库管理、大数据分析；以承接服务外包方式提供系统应用管理和维护、信息技术支持管理、数据处理等信息技术和业务流程外包服务。
