Senior Data Developer
Sham Shui Po Area
HK$55,000 - HK$65,000 / Per Month
2nd Jan 2026
Job description
Key Responsibilities
Design, build, test, and optimize scalable, reliable, and high - performance ETL/ELT data pipelines, data warehouses, and data lakehouses, supporting both batch and real - time data processing.
Lead data modeling (conceptual, logical, physical) to ensure data consistency, integrity, and accessibility, aligning with business and regulatory standards in Hong Kong.
Develop and maintain data APIs, data services, and data integration solutions to connect internal and external data sources (RESTful APIs, databases, cloud storage, etc.).
Optimize database performance, troubleshoot data issues, and ensure data security/compliance with Hong Kong’s data protection laws (e.g., PDPO) and industry regulations.
Mentor junior data developers, drive best practices for data development, documentation, and DevOps (CI/CD, Docker, Kubernetes) in the team.
Collaborate with business stakeholders to gather and translate data requirements into technical solutions, and provide data - related support for business initiatives.
Evaluate and adopt new data technologies/tools to improve the efficiency and capability of the data platform.
Employment types : Full-time
Working mode : Office or designated location
Work location : Sham Shui Po Area
Job work schedule : 9:00-18:00
Job type : Telecommunications / Information Technology / Networking / Software Development / Data Analysis
Requirements
Requirements
1. Education & Experience
Bachelor’s degree in Computer Science, Information Technology, Data Science, or a related field. A master’s degree is a plus.
10+ years of hands-on experience in data development, data engineering, or a related role, with at least 2 years in a senior/lead capacity.
Proven experience in building and managing cloud - based data platforms (AWS, Azure, or GCP); Hong Kong market or APAC regional project experience is preferred.
2. Technical Skills
Proficient in SQL (advanced query writing, stored procedures, optimization) and at least one programming language (Python, Java, or Scala).
Solid experience with ETL/ELT tools (Apache Airflow, Informatica, Azure Data Factory, etc.) and data warehousing/lakehouse technologies (Snowflake, BigQuery, Hadoop, Spark, Hive, etc.).
Familiarity with both relational databases (MySQL, PostgreSQL, SQL Server) and NoSQL databases (MongoDB, Cassandra, Redis).
Experience with data streaming (Apache Kafka, Flink) and containerization/orchestration tools (Docker, Kubernetes).
Knowledge of data governance, data quality frameworks, and CI/CD pipelines for data projects.
3. Language & Soft Skills
Fluent in Mandarin (spoken and written) for daily communication with regional teams and local stakeholders.
Fluent in English (spoken and written) for global team collaboration, documentation, and client interactions.
Strong analytical, problem - solving, and project management skills, with the ability to prioritize tasks in a fast - paced environment.
Excellent cross - functional communication and teamwork skills, with the ability to explain technical concepts to non - technical stakeholders.
Minimum education level : Bachelor Degree
Minimum years of work experience : 10 year(s)
Dress code requirement : Smart Casual
Salary and benefits
Salary : HK$55,000 - HK$65,000 / Per Month / Bank Transaction
Benefits : Flexible working hours Flexible lunch hours Annual leave (over and above statutory requirements) Bank holidays Paid meal time
Enquire and submit job applications
Contact person : Hong Kong Talent Fields
Apply Methods :
Keywords
Talent Fields Hong Kong Company Limited
About Us
Talent Fields is an established corporate formation and business management services provider that assists startups, small and medium-sized enterprises (SMEs) and multinational corporations around the world to set-up, manage, conduct and develop their business in Asia. Talent Fields has expanded its offerings to include an impressive array of enterprise-specific solutions with our our world-class services and technology enable smoother transactions, smarter knowledge-based decisions & better compliance.
System reference no. : J000080235940
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