The Royal Navy - Warfare Specialist (Submariner) Data Technician Apprenticeship

Royal Navy

Hampshire (PO2 8BY)

Closes on Monday 1 June 2026

Posted on 4 June 2024

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Summary

Being a Warfare Specialist (Submariner), means working with some of the most advanced computer systems available to identify, track and, if required, destroy potential threats. This will involve the covert monitoring of all other vessels (surface and sub-surface, friend or foe) within range of the advanced array of different sensors onboard.

Wage

£20,400 a year

Check minimum wage rates (opens in new tab)

• A £5,000 bonus for earning your ‘Dolphins’, the mark of the Submarine Service • Additional Submariner pay each day at sea when fully qualified • An excellent pension scheme • Six weeks of paid holiday every year • Free medical and dental care

Training course
Data technician (level 3)
Hours
Shifts to be confirmed.

40 hours a week

Start date

Tuesday 2 June 2026

Duration

1 year 6 months

Positions available

100

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

Where you'll work

Navy Command HQ
The Admiral Sir Henry Leach Building
Portsmouth
Hampshire
PO2 8BY

Training

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

Training provider

ROYAL NAVY

Training course

Data technician (level 3)

Understanding apprenticeship levels (opens in new tab)

What you'll learn

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.

Training schedule

This training schedule has not been finalised. Check with this employer if you’ll need to travel to a college or training location for this apprenticeship.

Requirements

Share if you have other relevant qualifications and industry experience. The apprenticeship can be adjusted to reflect what you already know.

Skills

About this employer

The Royal Navy (RN) is responsible for the protection of British interests at home and around the World. 95% of all world trade passes through the high seas and every year Britain imports £524 billion worth of goods. The RN takes an active part in the protection of British Shipping. Around the United Kingdom the RN protects vital fishing stocks by monitoring fishing activities in our waters. We recruit throughout the year, so please ignore Key Dates

https://www.royalnavy.mod.uk/careers (opens in new tab)

After this apprenticeship

Ask a question

The contact for this apprenticeship is:

ROYAL NAVY

The reference code for this apprenticeship is VAC1000255413.

Apply now

Closes on Monday 1 June 2026

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