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Data Engineering Project Lead

3 weeks ago


Hong Kong, Central and Western District, Hong Kong SAR China Hong Kong Exchanges and Clearing Limited Full time

Company Overview

Hong Kong Exchanges and Clearing Limited (HKEX) is a purpose-driven company, committed to the long-term development of our business and markets. Our mission is to connect, promote and progress our markets and the communities they support for the prosperity of all.

About the Role

The Data Analytics Project Manager will lead the planning, execution, and delivery of data engineering projects to incrementally build out our enterprise data platform. As a strategic role in the Chief Data Office of the Information Technology Division, you will apply technology skills in enabling capabilities like data ingestion, data modelling, data governance, data visualization and analytics toolset.

Main Responsibilities

  • Lead cross-functional teams and manage end-to-end responsibilities of data engineering projects, from inception to deployment
  • Collaborate with business stakeholders to deliver data platform capabilities, prioritizing requirements based on business benefits and protection against data risks
  • Project manage data initiatives, tracking progress and risks against scope, schedule, and costs, in coordination with business and tech units
  • Promote compliant and quality reuse of data on the enterprise platform, through incremental delivering functionalities in the data lifecycle, including data access control, data lineage, data quality, and data analytics
  • Manage third-party data products and vendors for deployment on the data platform
  • Implement cloud and open-source capabilities to enable data management and data governance
  • Effectively use hybrid project management techniques, applying agile tools within SDLC phases
  • Coordinate with data engineering function in their efficient use of technical tools, internal resources, and skills, optimizing technical synergies and efficiency across initiatives

Requirements

  • Bachelor's degree in technology, engineering, or related disciplines
  • 10 or more years of working experience in IT development or project management, preferably having good track record in large enterprises. VP position requires stronger technology and management experiences
  • Well-versed with SDLC project disciplines, experience with Agile methodologies, and leading cross-functional teams
  • Solid technical background with hands-on experience in software development and data-related technologies, such as multi-tiered service-oriented architecture, data modeling, and data virtualization
  • Good coverage and understanding of enterprise data architecture requirements and end-to-end technology stack
  • Experience in JupyterHub or equivalent data scientist workbench and deployment of multi-tenant architecture
  • Familiar with native cloud technologies, e.g., AWS EKS, EFS
  • Experience in data security and data management tools, e.g., LDAP, OAuth, Keycloak, AWS Lake Formation, AWS Data Catalog, OpenMetadata
  • Familiarity with data management, data governance, and data quality standards
  • Excellent communication and influencing skills
  • PMP, PRINCE2, or Agile certification is an advantage