Summary You’ll be trusted with responsibility early on working on real client systems internal tools and AI powered automations. Expect to work across platforms like ChatGPT Claude Zapier Botpress and more helping design workflows streamline processes and shape the way businesses operate. Wage £16,000 a year Check minimum wage rates (opens in new tab) Training course Data technician (level 3) Hours Monday - Friday, 9.00am - 5.00pm 37 hours a week Start date Friday 29 August 2025 Duration 1 year 4 months 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 Support the development of AI driven solutions for SMEs across the UK Assist in building and testing simple automation workflows Learn to connect systems using tools like Zapier ChatGPT and Botpress Help streamline day to day operations with smart repeatable processes Maintain and improve Envera’s own internal AI tools Collaborate with developers and project leads to deliver real impact Stay up to date with emerging AI trends platforms and tools Where you'll work 56 Nithsdale Avenue Market Harborough LE16 9PE Training Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills. Training provider QA LIMITED 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 Why choose AI & Digital Support? This programme brings together AI, Microsoft Copilot and broader digital skills to provide support and advice to users across a wide range of business software and Generative AI applications, enhancing digital transformation and increasing AI literacy across your organisation. Accelerate AI adoption Streamline productivity Champion innovation The AI & Digital Support programme integrates live and online workshops with self-paced learning, employing a guided discovery approach for individual learner contexts. Learners are assigned a Digital Learning Consultant (DLC) for personalised coaching and support. These specialists ensure their successful progress, wellbeing, and readiness for assessments. Apprentices will learn to use a variety of tools and technologies, including: Microsoft 365 Microsoft Copilot SaaS (Software as a Service) applications Requirements Essential qualifications GCSE in: any 3 subjects (grade 4 (AC)) English & Maths (grade 3 (D or above)) Share if you have other relevant qualifications and industry experience. The apprenticeship can be adjusted to reflect what you already know. Skills Communication skills Problem solving skills Team working About this employer At Envera Group, we transform how businesses work. Our mission is to help SMEs reclaim time, reduce friction, and modernise their operations — with smart systems that actually work for the people behind the business. We combine telecoms, broadband, AI, automation, cloud services, CRM integration, and digital infrastructure into a single, high-performance ecosystem. Our in-house platform, Vera, acts as an AI assistant that connects all the dots — streamlining operations, reducing admin, and unlocking efficiency. We’re fast-moving, human-focused, and obsessed with solving problems that matter — whether that’s helping a small business reclaim 10 hours a week or enabling a team to scale without burning out. Company benefits Company laptop full access to required platforms Flexible hybrid working (remote & office options) Performance incentives & commission opportunities A supportive, high-energy team environment Career progression into higher-level AI roles After this apprenticeship This apprenticeship is designed to launch your career in AI, automation, and digital transformation. If you're someone who sees how things could work better - and wants to be the one who makes it happen - this is your entry point. At Envera, you won’t just keep up with the future. You’ll help build it Ask a question The contact for this apprenticeship is: QA LIMITED The reference code for this apprenticeship is VAC1000333951.