Data Engineer Manager / Senior Manager

PCCW Services Limited; Hong Kong; On-site; HKD 1,200,000 - 1,600,000; Full time

Job summary

PCCW Services Limited is seeking a Senior Data Engineering Manager to build and scale data infrastructure, BI, and analytics platforms for Viu, a HK-based OTT service. You will lead a multidisciplinary team of software, infrastructure, and data professionals to execute a forward-looking data strategy that leverages AI and LLMs across markets.

You will drive data delivery, governance, and product-oriented AI solutions, collaborating with product, analytics, and engineering teams to meet regional

Qualifications

• 7+ years in data engineering, platforms, and leading teams.
• Degree in statistics, computer science, or related quantitative discipline.
• Proficiency in SQL and Python with hands-on LLM/agentic AI in engineering.
• Experience delivering end-to-end data solutions from requirements to support.
• Strong data governance, quality, and cost-control mindset.

Responsibilities

• Oversee data delivery, data operations, and L2 enquiry support.
• Lead data engineering team, end-to-end solution ownership.
• Drive data product development leveraging AI/LLMs.
• Ensure data quality and high availability across services.
• Establish governance guidelines for cost, security, access, and performance.
• Mentor teammates and coordinate with analytics, product, and tech managers.

Skills

Data leadership

SQL proficiency

Python & AI

Project management

Stakeholder management

English & Mandarin

Education

BSc in CS or Statistics

Tools

Snowflake

Databricks

dbt

Kafka

AWS

GCP

Job description

We are looking for a professional to join our data management team for Viu, an OTT service based in Hong Kong. With over 66 million monthly active users (MAU) and 12 million paid subscribers, Viu is a leading pan-regional OTT video service with a presence across Asia, the Middle East, and South Africa.

As a Senior Data Engineering Manager, you will be responsible for building best-in-class data infrastructure, business intelligence, and analytics platforms. You will lead and collaborate with a highly skilled team of software, infrastructure, and data professionals to support regional business needs. This involves formulating, communicating, and executing a forward-looking data strategy that leverages industry best practices in AI and technology across all our markets.

Key Responsibilities

• Data Delivery and Lifecycle: Prioritize data requests and collaborate closely with technical, product, and analytics managers to translate business needs into scalable engineering deliverables. Oversee data development, data operations, and L2 data enquiry support.
• Data Engineering Management: Lead and manage the data engineering team, overseeing end-to-end technical solutions, implementation, testing, deployment, and ongoing monitoring.
• Data Product & AI-Driven: Drive data product development leveraging agentic AI and appropriate LLMs to streamline and improve the engineering and operational efficiency
• Data Quality & High Availability: Partner with Analytics team to enforce rigorous data quality standards, optimize system performance, and maintain high data services uptime.
• Governance & Efficiency: Monitor overall data usage and maintain clear guidelines to manage cost controls, security, access, query performance and pipeline efficiency
• Candidates with less experience will be considered as Data Engineering Manager

What you'll need to succeed

To be successful in your new position it is important that you are someone who is forward-thinking and who takes initiative. Also, it is essential to have the following skills:

• 7+ years of experience in data engineering, data platforms, and team leadership
• Degree holder, preferably in statistics, computer science, or related quantitative disciplines
• Proficiency in SQL, Python with hands-on experience applying LLMs or agentic AI to engineering development
• Track record of managing end-to-end data delivery, from requirements gathering to L2 enquiry support
• Expertise in data architecture, data modeling, and pipeline development using Snowflake, Databricks, dbt, or Kafka on AWS or GCP
• Strong background in data governance, data quality, cost control, and query performance optimization
• Domain experience in OTT, digital marketing, e-commerce, CRM, MarTech, or AdTech fields are highly desired
• Strong stakeholder management and team leadership skills in a high-paced environment under tight timelines
• Good command of both written and spoken English and Mandarin