Senior Data Engineer

HTK; Hong Kong; On-site; HKD 500,000 - 800,000; Full time

Job summary

HTK seeks a data engineer / BI specialist to design and maintain cloud-based data pipelines, data marts, and analytics-ready data stores in a Hong Kong environment.

The role emphasizes converting business requirements into data solutions, implementing best practices, and collaborating with IT and business units to deliver robust data capabilities. Candidates should be proficient in SQL/Python and cloud platforms.

Qualifications

• Bachelor's degree in CS/IT/Data Science or related field.
• 3+ years in data engineering, data warehousing or BI development.
• Experience with SQL, Python; familiarity with GCP/AWS/Azure.

Responsibilities

• Design, build and maintain data pipelines in GCP.
• Develop data marts and data warehouses to support BI.
• Perform feature engineering and data prep for analytics/ML.
• Implement components per architecture, security standards.
• Unit tests and support production implementations.
• Document data flows and system operations.
• Provide ongoing user and application support for data environments.

Skills

SQL

Python

Big Data

Data Warehousing

RDBMS

NoSQL

Cloud Platforms

Data Modeling

Power BI

Tableau

Looker

Education

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

Tools

GCP

AWS

Azure

ETL

Job description

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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.

Key Responsibilities

• 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.

Ref ID: 61694

Location: Hong Kong, HK, HK

Business Unit: Data Monetisation

Full Time/ Part Time: Full Time

Job Function: Data Science & Business Intelligence