Senior Manager, Data Engineering
We are looking for an experienced Data Engineering leader to shape our enterprise data strategy, accelerate cloud transformation, and unlock advanced analytics capabilities. This role demands a blend of technical expertise, strategic vision, and leadership to drive innovation and foster cross-functional collaboration across business and technology teams
Job Responsibilities
- Lead the design and implementation of scalable, automated data pipelines and platforms to support evolving business needs and accelerate insight delivery.
- Drive cloud migration initiatives, ensuring successful transition of legacy systems to modern cloud environments.
- Optimize data infrastructure for cost efficiency, reliability, and performance, including software license and server cost savings.
- Establish and enforce best practices in data engineering, including coding standards, testing, and documentation.
- Drive strategic data acquisition initiatives in emerging business areas, ensuring the timely availability of high-quality data to enable actionable insights that maximize customer experience and revenue growth.
- Collaborate with analytics, marketing, sales, IT, and product teams to translate business requirements into technical solutions.
- Promote data quality, governance, and security measures across all data processes.
- Monitor and optimize system performance and scalability, proactively addressing bottlenecks and implementing predictive maintenance strategies.
- Explore and implement innovative tools, including AI-driven solutions, to enhance operational efficiency and accelerate migration projects.
- Stay abreast of emerging technologies and assess their applicability to improve data engineering capabilities.
- Mentor and develop team members, fostering engagement, technical growth, and leadership capabilities.
The Person
- Bachelor’s degree in Statistics, Mathematics, Computer Science, Information Technology or relevant disciplines.
- Minimum 8 years of experience in data engineering or analytics, with at least 3 years at supervisory and/or managerial role.
- Proven expertise in designing and managing data pipelines, ETL processes, and data platforms (data lakes/warehouses).
- Hands-on experience with cloud technologies and migration projects (AWS, Azure, or GCP).
- Strong programming skills in Python, Java, or Scala, with advanced SQL proficiency and familiarity with distributed computing frameworks (e.g., Spark).
- Experience implementing data security, governance, and compliance measures aligned with industry standards and regulatory requirements
- Ability to lead cross-functional projects and communicate effectively with technical and business stakeholders.
- Track record of driving innovation through new tools or technologies, including AI-based solutions.
- Strong leadership, problem-solving, and team development skills.
Ref ID: 59114
Location:
Hong Kong, HK, HK
Business Unit: Consumer Business Group
Full Time/ Part Time: Full Time
Job Function: Marketing
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