Building frame and related trades workers not elsewhere classified: how to get into this work
Also called: Building wrecker, Prefabricated building assembler, Scaffolder, Skilled demolition worker, Steeplejack
This unit group covers building frame and related trades workers not classified elsewhere in Minor Group 711: Building Frame and Related Trades Workers. For instance, the unit group includes steeplejacks, scaffolders and demolition workers.
Main tasks
- Climbing and performing miscellaneous construction and building maintenance work on tall structures such as towers, chimneys and spires
- Erecting temporary metal or wooden scaffolding on building sites
- Demolishing buildings and other structures
Ways in
- Apprenticeship: Bamboo Scaffolder. Bamboo Scaffolder (搭棚工) is a designated trade under the Apprenticeship Ordinance (Cap. 47); the period of apprenticeship is 3 years (Cap. 47C). Apprentices sign a registered contract with an employer.
- Licence or registration: Registering body: Construction Industry Council. Law: Construction Workers Registration Ordinance (建造業工人註冊條例), Cap. 583. Summary by Peernovo; check the body's current rules.
Pay · Outlook · AI and this job
- Median pay: HK$21,000 a month
- About 387,500 people in 2025, and about 403,200 projected by 2028. (+4.1%)
- Generative AI can do relatively little of this work, by the ILO's global estimate.
Related jobs
- Carpenters and joiners
- Concrete placers, concrete finishers and related workers
- House builders
- Bricklayers and related workers
- Stonemasons, stone cutters, splitters and carvers
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Questions people ask
Building frame and related trades workers not elsewhere classified: how do I get into this work?
Ways in include: Bamboo Scaffolder.
Building frame and related trades workers not elsewhere classified: do you need a degree for this work?
Usually not. Only 4% of people in this job hold a bachelor's degree or higher. Ways in include: Bamboo Scaffolder.
Building frame and related trades workers not elsewhere classified: will AI change this work?
Generative AI can do relatively little of this work, by the ILO's global estimate.
Sources
- Census and Statistics Department (2021 Population Census): 2021 Population Census, Interactive Data Dissemination Service: working population by occupation (38 groups) and sex, age, education, income; median income and field of education (9 groups) (2021 Population Census), retrieved 4 October 2026
- Census and Statistics Department (General Household Survey): Median monthly employment earnings by occupation (9 groups), excluding foreign domestic helpers (Table 210-06317A); employed persons by occupation, age and sex (210-06307A) and by industry (210-06308A) (2025 annual (series to 2026-07)), retrieved 4 October 2026
- Labour and Welfare Bureau; tables published by C&SD: Mid-term Update of Manpower Projection to 2028: supplementary statistical tables (5 occupation groups, 17 selected industries) (2025 to 2028 (published 2026-09)), retrieved 4 October 2026
- Census and Statistics Department: Average daily wages of workers engaged in public sector construction projects, 39 trades (Table 220-20001) (Monthly, 2021 series, 2026-07), retrieved 4 October 2026
- International Labour Organization, Generative AI and Jobs: A Refined Global Index of Occupational Exposure (ILO Working Paper 140, Gmyrek et al.) (ILO Working Paper 140, May 2025, Annex Table A1), CC BY 4.0, retrieved 4 October 2026
Updated 4 October 2026
