Apprenticeships allow individuals to gain practical skills and knowledge while working in real jobs, setting a strong foundation for their careers in the tech sector. Apprenticeships are open to school leavers or existing employees within an organisation. In order to undertake an Apprenticeship you must be supported by an Employer.
30 months
Virtual
6 to 8 hours / week
Why study Data Engineering?
This occupation is found in a wide range of public and private sector organisations who work with large data sets including Government departments, NHS, financial and professional services, IT companies, retail and sales and education providers.
The purpose of the occupation is to build systems that collect, manage, and convert data into usable information for data scientists, data analysts and business intelligence analysts to interpret. A data engineer’s main aim is to make data accessible and valid so that an organisation can use it to evaluate and optimise their performance. The role of the data engineer is pivotal to any organisation; it ensures that data pipelines are established to support data scientists and other business stakeholders.
The key activities that Data Engineer graduates perform include:
Data modelling
ETL processes
Python and data engineering
Data analysis and visualisation
Performance tuning and optimisation
Enhance your employability
Linked in Profile review alumni access, networking, and interview opportunities. Development of wider skills via our monthly Newsletter and events. We will provide pastoral support to ensure you are developing all the relevant behaviours such as communication, problem solving, emotional intelligence and growth mindset.
The ideal candidate will be selected by the employer based on their pre-requisites and screening process.
Apprentices without level 2 English and maths will need to achieve this level prior to taking the End-Point Assessment. For those with an education, health and care plan or a legacy statement, the apprenticeship’s English and maths minimum requirement is Entry Level 3. A British Sign Language (BSL) qualification is an alternative to the English qualification for those whose primary language is BSL.
However, an interest in technology and some knowledge of Python would be beneficial.
The tools a student needs are as followed:
A working laptop running Windows 10 or more, MacOS or any major distribution of Linux.
A working microphone and video camera.
A stable internet connection.
Chromebooks, tablets and phones are not conducive to undertaking the sessions.
Curriculum
Build and optimise automated data systems and pipelines considering data quality, description, cataloguing, data cleaning, validation, technical documentation and requirements.
Integrate, support and manage data using standalone, distributed and cloud-based platforms. To ensure efficient, sustainable and effective provision of data storage solutions.
Support the identification and evaluation of opportunities for data acquisition and data enrichment.
Select and use appropriate tools to process data in any format, such as structured and unstructured data and in any mode of delivery, such as streaming or batching. Adapt to legacy systems as required.
Ensure resilience is built into data products against business continuity and disaster recovery plans, and document change management to limit service outages. Support and respond to incidents through the application of technology and service management best practice including configuration, change and incident management.
Analyse requirements, research scope and options and present recommendations for solutions to stakeholders.
Support the implementation of prototype or proof-of-concept data products within a production environment
Maintain data solutions as continually evolving products, to service the organisation, user or client requirements. Collaborate with technical support teams and stakeholders from implementation to management.
Working within compliance and contribute towards data governance, organisational policies, standards, and guidelines for data engineering.
Monitor the data system to meet service requirements to enable solutions such as data analysis, dashboards, data products, pipelines, and storage solutions.
Keep up to date with engineering developments to advance own skills and knowledge.
Apprenticeships are funded based on employer Wage Bills. There are two types of employers and funding is based on the employer category you fall under:
A Levy employer with a pay bill of more than £3 million is required to pay the Apprenticeship Levy. Funds can be managed using the Apprenticeship service and spent towards training and assessing Apprentices. The government will apply a 10% top-up to the funds you have in your account.
Maximum funding from the government is capped at £19,000 for the Data Engineer Level 5 Apprenticeship.
For non-Levy paying employers, the government will fund 95% of the cost of training an apprentice, with a 5% contribution from the employer.
For an employer with fewer than 50 employees, the government will fund 100% of the cost for Apprentices aged 16-18, or Apprentices aged 19-24 with an education and healthcare need.
Maximum funding from the government is capped at £19,000 for the Data Engineer Level 5 Apprenticeship.
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Have a question?
If you’d like to learn more about our Bootcamps and Apprenticeships, a potential partnership or you have any other questions, please contact us and we’ll get back to you as soon as possible.