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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, full training, and a salary of £45,000.
- Why this job: Make a real impact on learners' careers while working in a supportive environment.
- Qualifications: 1+ years in Data Engineering; coaching experience is a plus but not required.
- Other info: Choose your own hours and work in a quality-focused, learner-first environment.
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 Engineers 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@wearefind.co.uk
Data Engineer Coach 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
✨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 demonstrate your passion for helping others grow.
✨Tip Number 2
Familiarise yourself with the latest tools and technologies mentioned in the job description, such as SQL, Python, and cloud platforms. Being able to discuss these confidently during interviews will show 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 refer you, which can significantly boost your chances of landing the job.
We think you need these skills to ace Data Engineer Coach
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in Data Engineering, especially any coaching or mentoring roles you've held. Use specific examples to demonstrate your technical skills with tools like SQL and Python.
Craft a Compelling Cover Letter: In your cover letter, express your passion for coaching and how your background 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 Relevant Experience: When detailing your work history, focus on experiences that relate to the responsibilities of the Data Engineer Coach position. Highlight any formal or informal coaching experiences and the impact you had on learners' progress.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for spelling and grammatical errors, and ensure that your documents are well-organised and clearly formatted to make a strong impression.
How to prepare for a job interview at FIND | Creating Futures
✨Showcase Your Coaching Experience
Make sure to highlight any previous coaching or mentoring experience you have, even if it was informal. Discuss specific instances where you helped someone learn a new skill or overcome a challenge, as this will demonstrate your passion for supporting others.
✨Demonstrate Technical Proficiency
Be prepared to discuss your hands-on experience with key Data Engineering tools like SQL, Python, and cloud platforms. You might be asked to explain how you've used these technologies in past projects, so have some examples ready that showcase your expertise.
✨Adaptability is Key
Since you'll be working with diverse learners, emphasise your ability to adapt your coaching style to meet different needs. Share examples of how you've tailored your approach in the past to help individuals with varying levels of understanding.
✨Communicate Clearly
Effective communication is crucial in this role. Practice explaining complex technical concepts in simple terms, as you may need to do this during the interview. This will show that you can make data engineering accessible to learners at all levels.
