Data Apprenticeship Coach

Find Apprenticeships; Sheffield; On-site; GBP 30,000 - 40,000; Full time

Job summary

A leading company in the apprenticeship sector is seeking a passionate Data Apprenticeship Coach to mentor apprentices up to Level 5. The role focuses on delivering quality coaching and assessment, ensuring learners achieve their qualifications and develop essential skills. You will collaborate with employers to enhance the apprenticeship experience while maintaining compliance with standards. This position offers a supportive environment with opportunities for personal development.

Benefits

25 days holiday + Bank Holidays and your birthday off

Pension

Private medical insurance

Qualifications

• Experience in Data engineering, analytics, or a related technical role.
• Teaching or assessing qualification required.

Responsibilities

• Provide coaching and mentoring to up to Level 5 Data apprentices.
• Plan and deliver engaging learning sessions and workshops.
• Monitor apprentice progress through regular reviews.

Skills

Communication

Organisational Skills

Coaching

Mentoring

Education

A1 Assessor Award

CAVA

PTLLS

Tools

e-portfolio systems

virtual learning platforms

Job description

Apprentify was set up to simplify the world of apprenticeships and deliver development programs that improve businesses through enhancing staff. Our business was set up to improve the new age of digital apprenticeships from a fresh angle, cutting away some of the bureaucracy.

About the Role:

We are looking to recruit an experienced and passionate Data Apprenticeship Coach to support and mentor apprentices up to Level 5 throughout their learning journey. The role involves delivering high-quality coaching, assessment, and support to learners, helping them develop the skills, knowledge, and behaviours required for operational management success.

Key Responsibilities:

• Provide coaching and mentoring to up to Level 5 Data apprentices, ensuring progression and achievement of qualifications.
• Plan and deliver engaging learning sessions, workshops, and one-to-one coaching tailored to individual learner needs.
• Assess learners' work against apprenticeship standards, providing constructive feedback to support their development.
• Guide apprentices in gathering evidence for their portfolio, preparing them for End-Point Assessment (EPA).
• Monitor apprentice progress through regular reviews, tracking performance against learning goals and targets.
• Work collaboratively with employers and key stakeholders to ensure a seamless apprenticeship experience.
• Support apprentices with personal development, leadership skills, and management competencies aligned with industry best practices.
• Maintain accurate records of learner progress and ensure compliance with quality and regulatory requirements.
• Stay up to date with apprenticeship standards, funding rules, and sector developments to ensure best practices in delivery.

ESSENTIALS

• Relevant experience in Data engineering, analytics, or a related technical role
• Teaching or assessing qualification (e.g., A1 Assessor Award, CAVA, PTLLS, or equivalent).
• Experience in coaching, mentoring, and assessing management apprentices.
• Strong knowledge of all Data Apprenticeship Standards.
• Excellent communication and interpersonal skills with the ability to motivate and inspire learners.
• Strong organisational and time management skills to manage a caseload of apprentices effectively.
• Proficiency in using e-portfolio systems and virtual learning platforms.
• Ability to build strong relationships with learners and employers to ensure positive outcomes.

Benefits & Package:

• 25 days holiday + Bank Holidays and your birthday off.
• Pension.
• Private medical insurance.

SAFEGUARDING STATEMENT

Our organisation, Apprentify is committed to safeguarding and promoting the welfare of all young people. We believe that apprentices deserve a safe, happy, and healthy life we will endeavor to deliver this.

Apprentify has a full safeguarding policy, which all staff are familiar with and adhere to at every momenT.