Data Engineering Apprenticeship Coach

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You will be responsible for coaching and mentoring a group of learners working towards the successful and timely achievement of their apprenticeship programme.

Your Responsibilities

  • Contribute to the Delivery of Excellent Learning Experiences
  • Deliver engaging Programme Launch sessions to groups of learners and feedback on Day 1 Learning submissions, ensuring they meet the required criteria.
  • Coach and support an agreed case-load of learners in smaller organisations and corporate environments
  • Work with internal Digital Learning Advisors, other DLC’s and Learning Specialists to provide a link between the classroom and their online learning.
  • Collaborate with Learning Specialists and Quality Assurance Consultants to ensure learners successfully achieve their apprenticeship programme on time.
  • Provide clear and detailed written feedback on learning activities and goal completion ensuring learners are aware and adhere to their 20% off‑job obligation.
  • Leverage a ‘many‑to‑many’ mind‑set and utilise technology effectively and safely to deliver cohort‑wide online coaching.
  • Professionally engage with both employer and learner to update on progress and plan for realistic progression. Deal with more complex customer questions and complaints in line to Company policy.
  • Enable learners to navigate and leverage the benefits of the VLE to enhance their learning journey.
  • On Rotation be available on Zendesk online chat during working hours and provide prompt responses to learner queries
  • On Rotation monitor the Digital Apprenticeships mailbox and respond to any queries relating to your programme area.
  • Deliver Impactful and Inspiring 1-2-1 Coaching
  • Through remote working practice, you must observe, review and provide feedback on evidence produced by learners to ensure it is of the appropriate standard to reflect the learner’s knowledge, skills and behaviour and meet the needs of the Awarding Organisation
  • Adhere to and apply quality assurance procedures when reviewing all components of the standards/framework to minimise referrals and meet deadlines
  • Hold regular remote review meetings and build a positive relationship with the employer, line manager and mentor to monitor learner progress and plan progression
  • Support learners online across a variety of modules specifically helping them apply their skills to their current job roles.
  • Utilise effective and proactive online communication techniques to validate task requirements and diagnose areas for learner improvement.

Key Responsibilities

  • Industry experience as a Data Engineer or similar role (ex: Cloud Engineer, Data Architect.)
  • Experience with at least one programming language. SQL and Python being the core languages of this apprenticeship.
  • Ability to explain technical concepts clearly to non-experts.
  • Familiarity with Cloud‑based data platforms (AWS, Azure or GCP)
  • Knowledge of Databricks is a plus.
  • Experience in supporting, mentoring or training others.
  • Awareness of safeguarding responsibilities and commitment to equality, diversity and inclusion.
  • A master’s degree in a relevant discipline is desirable

Benefits

  • 27 days Annual Leave (4 days used for the festive closure) plus Bank Holidays
  • Medicash plan, Wellhub, Cycle to Work scheme
  • Private Medical Insurance at corporate rates
  • Employee Assistance Programme
  • Employee Discounts Benefit Hub
  • 2 Charity days per year
  • Pension Scheme

Equal Opportunity Statement

We are an equal opportunity employer, focused on promoting a welcoming and inclusive environment. We embrace diversity, welcome applications from all candidates and aim to support the career growth of everyone. This means no matter what your gender, age, ethnicity, beliefs, or sexual orientation, or if you are disabled or a carer, we welcome you and the different perspectives you bring to our diverse family. As a Disability Confident Employer, we guarantee that all applicants with a disability who meet the role criteria will progress to the next stage of the process. Please let us know if you require any reasonable adjustments.

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Company: QA Ltd
Apply for the Data Engineering Apprenticeship Coach
Location: London
Job Description:

You will be responsible for coaching and mentoring a group of learners working towards the successful and timely achievement of their apprenticeship programme.

Your Responsibilities

  • Contribute to the Delivery of Excellent Learning Experiences
  • Deliver engaging Programme Launch sessions to groups of learners and feedback on Day 1 Learning submissions, ensuring they meet the required criteria.
  • Coach and support an agreed case-load of learners in smaller organisations and corporate environments
  • Work with internal Digital Learning Advisors, other DLC’s and Learning Specialists to provide a link between the classroom and their online learning.
  • Collaborate with Learning Specialists and Quality Assurance Consultants to ensure learners successfully achieve their apprenticeship programme on time.
  • Provide clear and detailed written feedback on learning activities and goal completion ensuring learners are aware and adhere to their 20% off‑job obligation.
  • Leverage a ‘many‑to‑many’ mind‑set and utilise technology effectively and safely to deliver cohort‑wide online coaching.
  • Professionally engage with both employer and learner to update on progress and plan for realistic progression. Deal with more complex customer questions and complaints in line to Company policy.
  • Enable learners to navigate and leverage the benefits of the VLE to enhance their learning journey.
  • On Rotation be available on Zendesk online chat during working hours and provide prompt responses to learner queries
  • On Rotation monitor the Digital Apprenticeships mailbox and respond to any queries relating to your programme area.
  • Deliver Impactful and Inspiring 1-2-1 Coaching
  • Through remote working practice, you must observe, review and provide feedback on evidence produced by learners to ensure it is of the appropriate standard to reflect the learner’s knowledge, skills and behaviour and meet the needs of the Awarding Organisation
  • Adhere to and apply quality assurance procedures when reviewing all components of the standards/framework to minimise referrals and meet deadlines
  • Hold regular remote review meetings and build a positive relationship with the employer, line manager and mentor to monitor learner progress and plan progression
  • Support learners online across a variety of modules specifically helping them apply their skills to their current job roles.
  • Utilise effective and proactive online communication techniques to validate task requirements and diagnose areas for learner improvement.

Key Responsibilities

  • Industry experience as a Data Engineer or similar role (ex: Cloud Engineer, Data Architect.)
  • Experience with at least one programming language. SQL and Python being the core languages of this apprenticeship.
  • Ability to explain technical concepts clearly to non-experts.
  • Familiarity with Cloud‑based data platforms (AWS, Azure or GCP)
  • Knowledge of Databricks is a plus.
  • Experience in supporting, mentoring or training others.
  • Awareness of safeguarding responsibilities and commitment to equality, diversity and inclusion.
  • A master’s degree in a relevant discipline is desirable

Benefits

  • 27 days Annual Leave (4 days used for the festive closure) plus Bank Holidays
  • Medicash plan, Wellhub, Cycle to Work scheme
  • Private Medical Insurance at corporate rates
  • Employee Assistance Programme
  • Employee Discounts Benefit Hub
  • 2 Charity days per year
  • Pension Scheme

Equal Opportunity Statement

We are an equal opportunity employer, focused on promoting a welcoming and inclusive environment. We embrace diversity, welcome applications from all candidates and aim to support the career growth of everyone. This means no matter what your gender, age, ethnicity, beliefs, or sexual orientation, or if you are disabled or a carer, we welcome you and the different perspectives you bring to our diverse family. As a Disability Confident Employer, we guarantee that all applicants with a disability who meet the role criteria will progress to the next stage of the process. Please let us know if you require any reasonable adjustments.

#J-18808-Ljbffr…

Posted: May 17th, 2026