Home > Apprenticeships >General Welder Apprentice RESURGEM ENGINEERING CO LTD

General Welder Apprentice RESURGEM ENGINEERING CO LTD

APPLY TO THIS JOB

About General Welder Apprentice RESURGEM ENGINEERING CO LTD

  • Salary:£12,168.00
  • Working Week:Days and shifts to be confirmed.
  • Working Hours:Total hours per week: 39.0
  • Duration:18 Months
  • Start :4-Sep-23
  • Level :Intermediate Level 2 (GCSE)
  • Reference Number :VAC1000137260
  • Available Positions :2 available
  • Expected career progression :Practical skills are considered as important as academic ability and the employer will set their own specific selection criteria. However, the candidate will be required to successfully achieve qualifications at level 1 in English and Mathematics and also to have taken examinations at level 2, for both subjects, within the period of apprenticeship if not already achieved.

Required Skills & Qualification

Communication skills, Team working, Reliable, Hard Working

GCSE or equivalent English (Grade 4/C or equivalent) EssentialGCSE or equivalent Maths (Grade 4/C or equivalent) Essential

Apprenticeship Standard

General welder (arc processes) Level 2 (GCSE)

Employer

RESURGEM ENGINEERING CO LTD

THE BURY MANOR WICK BRISTOL BS30 5SH

Provider

WESTON COLLEGE OF FURTHER AND HIGHER EDUCATION

APPLY TO THIS JOB

Related Apprenticeship

Hairdressing Apprentice - L2 Diploma For Hairdressing Professionals The Colour House Hairdressing Ltd
View
IT Support Apprentice
View
Policy and Affairs Apprentice BUILDERS MERCHANTS FEDERATION LIMITED
View
Pharmacy Assistant Apprenticeship Conway Healthcare Ltd
View
Event Assistant Apprentice British International Freight Association (BIFA)
View
Engineering And Bace Department Administration Apprentice Weston College
View

Scholarships

A New Lightweight Cryptographic Protocol With Public Blockchain Integration for Privacy Preserving Federated Learning in Resource-Constrained IoT Networks at University of Southampton
View Scholarship
Advanced Drivetrain Monitoring through use of Machine Learning and Optical Fibre Speckle Patterns (GE Aerospace) at University of Southampton
View Scholarship
Advanced Rotor-Stator Interactions Through Bearings at University of Nottingham
View Scholarship
Automated Hydrodynamic Characterisation for Seakeeping and Manoeuvring Performance from Focused Experimental Datasets at University of Southampton
View Scholarship
RELATED ARTICLE