Data Technician Apprentice at Quest Technologies

Summary

A dynamic IT, Network Support, and Computer Repair firm located near Old Street is actively seeking an enthusiastic individual to join our team as an Apprentice or Junior Engineer. This opportunity is available on a full-time or part-time basis.

Wage: £13,312 to £23,795.20 a year
Minimum wage rates (opens in new tab)
Training course: Data technician (level 3)
Hours: Monday - Friday, 9.00am - 6.00pm
40 hours a week
Possible start date: Monday 24 March
Duration: 2 years
Positions available: 1

Work

Most of your apprenticeship is spent working. You’ll learn on the job by getting hands-on experience.

What you’ll do at work

On-the-job training and expectations:

Comprehensive training will be provided
Candidates should possess a genuine enthusiasm for IT and technology

Candidate Profile:

Excellent proficiency in English, both written and verbal
Professional and neat appearance with a smart casual dress code
Courteous, friendly, and easily approachable demeanour
Due to our work with educational institutions, a DBS check is mandatory

Technical Skills Required:

A strong passion for all aspects of IT
Proficiency in assembling PCs
Skilled in diagnosing and resolving hardware and software issues
Competent in reinstalling the Windows Operating System and updating drivers
Familiarity with alternative operating systems (Mac and Linux) is advantageous
Experience with cloud services such as O365 and G-Suite is beneficial
Fundamental networking knowledge
Experience with Windows Server is considered a plus

Where you’ll work

Quest Technologies London Ltd, 195 Whitecross Street
London
EC1Y 8QP

Training

Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.

College or training organisation

THE WKCIC GROUP

Your training course

Data technician (level 3)

Equal to A level

Course contents

Source and migrate data from already identified different sources.
Collect, format and save datasets.
Summarise and explain gathered data.
Blend data sets from multiple sources and present in format appropriate to the task.
Manipulate and link different data sets as required.
Use tools and techniques to identify trends and patterns in data.
Apply basic statistical methods and algorithms to identify trends and patterns in data.
Apply cross checking techniques for identifying faults and data results for data project requirements.
Audit data results.
Demonstrate the different ways of communicating meaning from data in line with audience requirements.
Produce clear and consistent technical documentation using standard organisational templates.
Store, manage and distribute in compliance with data security standards and legislation.
Explain data and results to different audiences in a way that aids understanding.
Review own development needs.
Keep up to date with developments in technologies, trends and innovation using a range of sources.
Clean data i.e. remove duplicates, typos, duplicate entries, out of date data, parse data (e.g. format telephone numbers according to a national standard) and test and assess confidence in the data and its integrity.
Operate as part of a multi-functional team.
Prioritise within the context of a project.
Source and migrate data from already identified different sources.
Collect, format and save datasets.
Summarise and explain gathered data.
Blend data sets from multiple sources and present in format appropriate to the task.
Manipulate and link different data sets as required.
Use tools and techniques to identify trends and patterns in data.
Apply basic statistical methods and algorithms to identify trends and patterns in data.
Apply cross checking techniques for identifying faults and data results for data project requirements.
Audit data results.
Demonstrate the different ways of communicating meaning from data in line with audience requirements.
Produce clear and consistent technical documentation using standard organisational templates.
Store, manage and distribute in compliance with data security standards and legislation.
Explain data and results to different audiences in a way that aids understanding.
Review own development needs.
Keep up to date with developments in technologies, trends and innovation using a range of sources.
Clean data i.e. remove duplicates, typos, duplicate entries, out of date data, parse data (e.g. format telephone numbers according to a national standard) and test and assess confidence in the data and its integrity.
Operate as part of a multi-functional team.
Prioritise within the context of a project.

Your training plan

Data Technician Level 3 Apprenticeship Standard

Requirements

Essential qualifications

GCSE or equivalent in:

English (grade 4)

Let the company know about other relevant qualifications and industry experience you have. They can adjust the apprenticeship to reflect what you already know.

Skills

IT skills
Attention to detail
Organisation skills

Other requirements

After our internal training, once the candidate is ready, we will expect them to go to school sites for a day or half a day or for outcall jobs at homes and businesses. All of our schools are based in London.

About this company

Quest Technologies™ continues to provide IT services and consulting for businesses, schools and the general public. We offer a start-to-finish solution behind computing and communication technologies, whether it involves integrating current systems or the design and development of new ones. We bring the expertise that allows your business to operate smoothly and effectively. We explore how technology and services can help organisations address their business issues and challenges and realise their possibilities of creating operational efficiency. We apply new thinking and ideas to create more simple, valuable and trusted experiences with technology to continuously improve the way our customers live and work.

After this apprenticeship

A permanent job may be available depending on the apprentice.

Ask a question

The contact for this apprenticeship is: