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- Tasks: Coach and mentor junior Data Engineers through their apprenticeship journey.
- Company: Join a dynamic team focused on empowering the next generation of Data Engineers.
- Benefits: Enjoy flexible remote work, choose your hours, and receive full training.
- Other info: Salary of £45,000 with a focus on learner needs and education.
- Why this job: Make a real impact on learners' careers while developing your coaching skills.
- Qualifications: 1+ years in Data Engineering; coaching experience is a plus but not required.
The predicted salary is between 27000 - 63000 £ per year.
Are you an experienced Data Engineer with a passion for coaching and mentoring others?
Join our client\’s growing team as a Data Engineering Coach, where you\’ll coach, guide & mentor junior/apprentice Data Engineer\’s throughout their apprenticeship journey – from day one to completion.
This is a highly flexible, remote-working role, ideal for Data Engineering professionals seeking meaningful work, and one that could still fit around other commitments.
Key Responsibilities:
- Deliver 1:1 and small group coaching sessions to support Data Engineer apprentices across a variety of industries
- Provide technical mentoring in core Data Engineering tools, techniques, and methodologies – including Python, SQL, ETL pipelines, data warehousing, cloud platforms, and version control
- Offer pastoral support, helping learners stay on track and fully motivated throughout their programme
- Support learners in building confidence and developing practical, job-ready data engineering skills
- Collaborate with employers to ensure learner progress and success in real-world projects
- Adapt coaching styles to meet diverse learner needs and learning styles
- Track learner development and provide constructive, actionable feedback
What We\’re Looking For:
- Industry Experience: At least 1+ years of hands-on experience working in Data Engineering (open to professionals from various data eng. backgrounds – data pipelines, ML Eng, data warehousing, analytics engineering, big data, cloud etc.)
- Technical Exposure: Experience with tools like SQL, Python, Apache Spark, Kafka, Cloud platforms (AWS/GCP/Azure), and modern data stack technologies
- Formal or Informal Coaching Experience: Any previous coaching, mentoring, or training experience – formal or informal (no need to have worked as a Coach / Trainer / Lecturer etc.)
- Passion for People: Enthusiastic about supporting others to learn, grow, and succeed
- Excellent Communication: Able to explain technical data engineering concepts clearly and effectively
- Organised and Self-Motivated: Comfortable managing your own schedule and learner caseload
What\’s on Offer
- Remote working with flexibility – choose full-time or part-time hours
- Rewarding, purpose-driven work making a real impact on learners\’ careers
- Full training & up-skilling on how to become an effective Coach
- CPD around all further areas of Data Engineering, Analytics, and wider tech fields
- A quality-focused environment that ALWAYS puts learner needs & education first
Salary will be £45,000, and you can decide what days/hours you work (within reason!)
For more info, please get in touch: Ryan.hammond@
#J-18808-Ljbffr
Data Engineer Coach. Job in Nottingham Education & Training Jobs employer: FIND | Creating Futures
Contact Detail:
FIND | Creating Futures Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer Coach. Job in Nottingham Education & Training Jobs
✨Tip Number 1
Highlight your coaching experience, even if it's informal. Share specific examples of how you've mentored others in data engineering or related fields, as this will show your passion for helping others grow.
✨Tip Number 2
Familiarise yourself with the latest tools and technologies mentioned in the job description, such as Python, SQL, and cloud platforms. Being able to discuss these confidently during any interactions will demonstrate your technical expertise.
✨Tip Number 3
Prepare to discuss your approach to adapting coaching styles for different learners. Think about how you can tailor your mentoring to meet diverse needs, as this is a key aspect of the role.
✨Tip Number 4
Network with current or former Data Engineering Coaches if possible. They can provide insights into the role and may even offer tips on how to stand out in your application process.
We think you need these skills to ace Data Engineer Coach. Job in Nottingham Education & Training Jobs
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in Data Engineering, especially any coaching or mentoring roles you've held. Use specific examples to demonstrate your skills with tools like SQL and Python.
Craft a Compelling Cover Letter: In your cover letter, express your passion for coaching and how your experience aligns with the role. Mention your ability to adapt coaching styles to meet diverse learner needs and provide examples of how you've supported others in their learning journey.
Showcase Technical Skills: Clearly outline your technical expertise in your application. Include any relevant projects or experiences that showcase your proficiency in data engineering tools and methodologies, such as ETL pipelines and cloud platforms.
Highlight Communication Skills: Since excellent communication is key for this role, provide examples in your application of how you've effectively explained complex concepts to others. This could be through previous coaching experiences or collaborative projects.
How to prepare for a job interview at FIND | Creating Futures
✨Showcase Your Coaching Experience
Be prepared to discuss any previous coaching or mentoring experiences you have, even if they were informal. Highlight specific examples where you helped someone learn or grow in their skills, as this will demonstrate your passion for supporting others.
✨Demonstrate Technical Proficiency
Make sure to brush up on the core Data Engineering tools mentioned in the job description, such as Python, SQL, and cloud platforms. Be ready to explain how you've used these technologies in your past roles and how you can teach them effectively.
✨Adaptability is Key
Since you'll be working with diverse learners, think about how you can adapt your coaching style to meet different needs. Prepare to discuss strategies you might use to engage various learning styles and keep apprentices motivated.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare thoughtful questions about their coaching philosophy, team dynamics, and how they measure learner success. This shows your genuine interest in the role and helps you assess if it's the right fit for you.