Data Engineer

PCCW; Hong Kong; On-site; HKD 420,000 - 660,000; Full time

Job summary

PCCW in Hong Kong is seeking passionate data professionals to join a team building a next-generation cloud-based data platform for a leading telecom. This platform drives the company's transformation toward becoming data-driven, leveraging Big Data, Cloud, event-driven architectures, and advanced data governance.

You will collaborate with Data Scientists, BI Analysts, and cross-functional stakeholders to deliver data solutions, analytics capabilities, and business insights that empower informed

Qualifications

• Bachelor's degree required in CS/IT/Data Science or related field.
• Minimum 3 years of data engineering, data warehouse, or BI development experience.
• Senior role: 5+ years with proven delivery and stakeholder-facing experience.
• Hands-on with data warehouse/lake design, ETL, and cloud platforms (GCP/AWS/Azure).
• Proficient in SQL, Python, and data visualization tools.
• Strong knowledge of Big Data, cloud-native tech, and DaaS is a plus.
• Excellent communication, docs, and bilingual English/Chinese.

Responsibilities

• Design, build, and maintain data pipelines in Google Cloud Platform.
• Develop data marts and data warehouses to support BI and analytics.
• Perform feature engineering and data preparation for analytics and ML models.
• Implement components following standards, security, and coding guidelines.
• Unit testing, system/UAT support, and production deployment support.
• Document systems, operations, and data flows.
• Provide ongoing user and application support for production data environments.
• Translate business requirements into technical specs and define KPIs.

Education

Bachelor's degree in Computer Science, Information Technology, Data Science, or related disciplines

Tools

SQL

Python

RDBMS

NoSQL

Power BI

Tableau

Looker

ETL

Job description

Summary

We are seeking passionate and skilled professionals to join our team in building a next-generation cloud-based data platform for one of the largest telecommunications companies in Hong Kong. This platform is a core initiative in the company's transformation toward becoming a data-driven enterprise, leveraging cutting-edge technologies such as Big Data, Cloud computing, event-driven architecture, live data streaming, and advanced data governance frameworks.

Candidates will play a key role in data solution development, analytics enablement, and business insights delivery, collaborating closely with Data Scientists, BI Analysts, and cross-functional stakeholders across the organization.

Key Responsibilities

Data Engineering & Platform Development

• Design, build, and maintain robust data pipelines ingesting and transforming large volumes of data into Google Cloud Platform (GCP).
• Develop and optimize data marts and data warehouse structures to support Business Intelligence (BI) and analytical workloads.
• Conduct feature engineering and data preparation for advanced analytics and machine learning models.
• Implement software components following architectural standards, security practices, and coding guidelines.
• Conduct unit testing, support system and user acceptance testing, and assist with production implementation.
• Develop and maintain comprehensive documentation for systems, operations, and data flows.
• Provide ongoing user and application support, ensuring reliability and performance of production data environments.

Business Analysis & Data Governance

• Translate business requirements into clear technical specifications, working closely with business units and IT teams.
• Perform data analysis, gap assessments, and process mapping to identify improvement opportunities.
• Partner with stakeholders to define KPIs, reporting requirements, and analytical frameworks supporting business decision-making.
• Support and execute data governance initiatives, including metadata management, data quality monitoring, and compliance alignment.
• Facilitate effective communication between business and technical teams, ensuring alignment on objectives, priorities, and deliverables.

Qualifications and Experience

• Bachelor's degree in Computer Science, Information Technology, Data Science, or related disciplines.
• Data Engineer: Minimum 3 years of experience in data engineering, data warehouse, or BI development.
• Senior Data Engineer / Business Analyst: Minimum 5 years of experience with proven technical delivery and stakeholder-facing experience.
• Hands-on experience in data warehouse/lake design, ETL development, and cloud data platforms (preferably GCP, AWS, or Azure).
• Proficiency in SQL, Python, and other relevant programming or scripting languages.
• Good understanding of RDBMS, NoSQL, and data visualization tools (e.g., Power BI, Tableau, or Looker).
• Familiarity with Big Data frameworks, Cloud-native technologies, and Data-as-a-Service (DaaS) platforms is a strong advantage.
• Demonstrated analytical thinking with the ability to interpret complex business problems and convert them into actionable data solutions.
• Excellent communication, documentation, and interpersonal skills; fluent in English and Chinese (spoken and written).
• Project management experience or certifications (e.g., PRINCE2, PMP, or Scrum Master) are advantageous but not essential.

Ideal Candidate Attributes

• Strong analytical and problem-solving mindset with attention to data quality and integrity.
• Collaborative team player with a proactive "can-do" attitude.
• Fast learner who embraces new technologies and continuous improvement.
• Comfortable working in dynamic, fast-paced environments under agile methodologies.