Deutsch
Español
Français
Hrvatski
Italiano
Lietuvių
Nederlands
Norsk
Polski
Português
Română
Slovenščina
Kingston upon Hull, England, United Kingdom
Forecourt Cleaner | Ferriby & Willerby | 14 hours per week
GBP 500 / yearHospitality, food service and cleaning
Stock replenishment
Pay vs market
GBP 30.0K98% below the market
Market median of 111 jobs
The company
Sewell Group
Real estate, construction and proptech
8
open positions
Where to apply
Use the Apply button above. It opens the application form of the employer.
Checked 5 h ago
About the job
Sewell Group, a company in real estate, construction and proptech, has an open position for Forecourt Cleaner | Ferriby & Willerby | 14 hours per week. The posting gives Kingston upon Hull, United Kingdom as the location. We classify it under hospitality, food service and cleaning. There are 8 open positions from Sewell Group on this site.
Posted 20 days ago · Last checked 2026-11-15
About Sewell Group
8 open positions. Most open roles: Sales (3), Hospitality, food service and cleaning (2), Skilled trades, construction and production (2).
Similar jobs
Station Cleaning Team Leader - East CroydonOptime Group · Croydon, England, United KingdomGBP 15.03 / hourImmigration Host - Gatwick AirportOptime Group · Crawley, England, United KingdomGBP 14.25 / hourBartender - Cafe Boheme, Central LondonSoho House via Caterer.com · EnglandGBP 15.5 / hourBartender - Cafe Boheme, Central LondonSoho House & Co. · England, United KingdomGBP 15.5 / hourPerformance - Senior Vice President - Travel, Hospitality & LeisureAlixPartners · LondonHybridPerformance Director - Travel, Hospitality & LeisureAlixPartners · LondonHybridBarista - CostaMoto · Heywood, United KingdomBartender - 180 House, Central London Soho House & Co. · 180 House - 180 Strand, Temple, London WC2R 1EAGBP 15.5 / hour
Key facts
| Workplace | Workplace not stated |
| Seniority | Not stated |
| Role | Hospitality, food service and cleaning |
| Countries | United Kingdom |
| Employment type | Part-time |
The full description is on the original posting. Labels are set automatically and can be wrong. About the data