Data Engineer Coach

FIND | Creating Futures; United Kingdom; Remote; GBP 45,000; Full time

Job summary

Join a leading company as a Data Engineering Coach to guide and mentor apprentices in their learning journey. This flexible, remote role offers a chance to make a tangible impact on learners' careers while working with diverse industries in Data Engineering. Ideal for professionals with experience in coaching and a passion for supporting others.

Benefits

Flexible working hours

Full training on coaching skills

CPD opportunities in Data Engineering

Purpose-driven work

Qualifications

• At least 1+ years of hands-on experience in Data Engineering.
• Experience with tools like SQL, Python, and cloud platforms.
• Formal or informal coaching experience is desirable.

Responsibilities

• Deliver 1:1 and small group coaching sessions for Data Engineer apprentices.
• Provide technical mentoring in Data Engineering tools and methodologies.
• Help learners develop confidence and practical skills.

Skills

Data Engineering

Coaching

Technical Mentoring

Excellent Communication

Organised

Self-Motivated

Tools

SQL

Python

Apache Spark

Kafka

Cloud platforms

Job description

FIND | Creating Futures provided pay range

This range is provided by FIND | Creating Futures. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Direct message the job poster from FIND | Creating Futures

Helping Grow & Improve Technical Training Teams

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: [e-mail]

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Education, Information Technology, and Analyst

• Industries

  Data Infrastructure and Analytics, Higher Education, and IT Services and IT Consulting

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