Data Engineering Coach in Glasgow

Data Engineering Coach in Glasgow

Glasgow Full-Time 34000 - 51000 £ / year (est.) No home office possible
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IO Sphere

At a Glance

  • Tasks: Coach aspiring data engineers through hands-on projects and practical sessions.
  • Company: Join iO-Sphere, a fast-growing Data & AI training company with a unique approach.
  • Benefits: Flexible hours, competitive salary, and opportunities for professional development.
  • Why this job: Make a real impact by transforming learners into confident data engineers.
  • Qualifications: Strong experience in Python, SQL, and data engineering concepts; coaching experience is a plus.
  • Other info: Be part of a dynamic team that values innovation and learner success.

The predicted salary is between 34000 - 51000 £ per year.

You’ve built pipelines that actually run in production, wrestled with orchestration, and debugged systems at 2am when something broke. You know the difference between a proof of concept and infrastructure that scales. Now you want to do something different with your skills — coaching working professionals and career switchers to become confident, capable data engineers.

About iO-Sphere: Traditional training is broken. People finish courses with theory but no real capability — the experience gap. We solve that. At iO-Sphere, learners don’t sit through lectures. They come to work in PRISM, our fully simulated company with 500m+ rows of real data, where they tackle realistic business problems and build practical skills they can use immediately. Combined with high-touch coaching from people who’ve actually done the work, we deliver real capability development — not just content consumption.

We also know that technical skills alone don’t make someone great at their job. That’s why our programmes develop the full skill set: problem-solving, system thinking, communication, and professional skills. We’re training people to be effective in the workplace, not just pass a test.

The Team & Culture: Our coaching team is exceptional — former data scientists, analytics directors, engineers, and AI practitioners who decided to do something different with their expertise. You’d be joining a high-performing, tight-knit group that takes ownership, holds itself to a high bar, and has a lot of fun doing it. We value people who take responsibility, move fast, and care deeply about learner outcomes. If you thrive with autonomy and want your ideas to actually get implemented, you’ll fit right in.

The Impact: We’re rated 4.9 stars on Google — and that’s because of our coaches. You’ll watch people transform from uncertain to confident, from writing their first Python script to building production-ready pipelines. The feels never get old. That’s what makes it all worth it. We’re also at an inflection point. 700+ learners trained, real momentum, and 2026 is when we scale — new programmes, new products, bigger team. If you want to join something early and grow with it, this is the time.

What You’ll Do: Coach working professionals through our Data Engineering programme. These are ambitious people who want to build the infrastructure that powers modern data teams — pipelines, orchestration, cloud systems. You’ll help them master the technical skills and develop the engineering mindset that makes someone effective in real-world environments.

  • Delivering engaging, practical coaching sessions on engineering concepts and tools
  • Guiding learners through PRISM-based projects — building real pipelines, debugging real problems
  • Providing clear, constructive feedback on code, architecture decisions, and system design
  • Coaching on engineering habits — version control discipline, structured problem-solving, documentation
  • Running 1:1 coaching conversations that build confidence and momentum
  • Tracking learner progress and intervening early when someone’s struggling
  • Maintaining accurate records and evidence (we’re regulated, so organisation matters)
  • Collaborating with the wider coaching and quality teams
  • Shape the programme as you deliver it. These programmes are new and evolving. You’ll have real input into quality and execution — if you see a better way to teach something, we want to hear it and we’ll actually implement it.
  • Work across different programme types. Beyond skills-levy programmes, you’ll also coach on our applied diplomas and commercial training — different learner types, fresh challenges, and variety you won’t get elsewhere. You may also contribute to data analytics or other technical pathways where your skills apply.
  • Get involved as we grow. We’re launching new products throughout 2026, and there’s real opportunity to contribute beyond your core coaching role.

Why This Isn’t Like Other Coaching Jobs: Tech-first = less admin, more coaching. Our systems handle the paperwork so you spend time with learners, not drowning in compliance busywork. High-quality product. You’re delivering something well-designed that actually works — not apologising for broken curriculum. Room to build. Programmes are fresh. You’re not just following a script; you’re helping make it better.

Must have — strong practical experience in most of:

  • Python for data workflows and automation
  • Advanced SQL (optimisation, analytical functions, modelling)
  • ETL/ELT pipeline design, build, and orchestration
  • Docker and containerisation
  • Cloud environments (Azure, AWS, or GCP)
  • Version control (Git)

Bonus points for:

  • Airflow, Prefect, dbt, or cloud-native orchestration
  • CI/CD and deployment automation
  • Data warehousing fundamentals (star schema, staging patterns)

Plus:

  • Ability to explain complex engineering concepts without losing people
  • You genuinely enjoy working with people and get energy from helping others succeed

Right mindset:

  • Takes ownership and follows through
  • Eye for improvement — you notice what could be better
  • Organised and reliable (we’re regulated training, so this matters)
  • Comfortable in a fast-moving environment

No teaching qualifications required. If you haven’t coached before, we’ll train you and support you in gaining formal qualifications as part of your development.

Salary: £40,000–£60,000 + bonus, depending on experience

Location: London preferred (hybrid, with time in our London office). Open to candidates across the UK for the right person.

Hours: Full-time or part-time — we’re genuinely flexible and welcome both.

Eligibility: Unrestricted right to work in the UK required. We cannot offer visa sponsorship.

At iO-Sphere, we value diversity and believe the best outcomes come from varied backgrounds. If you share our passion, we encourage you to apply.

Data Engineering Coach in Glasgow employer: IO Sphere

At iO-Sphere, we pride ourselves on being a forward-thinking employer that values innovation and personal growth. Our hybrid work culture fosters flexibility, allowing you to balance your professional and personal life while contributing to a dynamic team of experienced coaches. With a focus on real-world impact and learner success, you'll have the opportunity to shape our evolving programmes and make a meaningful difference in the lives of aspiring data engineers.
IO Sphere

Contact Detail:

IO Sphere Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Engineering Coach in Glasgow

✨Tip Number 1

Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the lookout for coaching roles. Attend meetups or webinars related to data engineering to meet potential employers and get your name out there.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your past projects, especially those involving pipelines and orchestration. This will give potential employers a taste of what you can do and how you can help their learners succeed.

✨Tip Number 3

Prepare for interviews by brushing up on common coaching scenarios. Think about how you'd handle different learner types and challenges. Practising these conversations will help you feel more confident and ready to impress during the interview.

✨Tip Number 4

Don't forget to apply through our website! We want to hear from you directly, and applying online gives you the best chance to showcase your enthusiasm for joining our team at iO-Sphere. Plus, it’s super easy!

We think you need these skills to ace Data Engineering Coach in Glasgow

Python for data workflows and automation
Advanced SQL (optimisation, analytical functions, modelling)
ETL/ELT pipeline design, build, and orchestration
Docker and containerisation
Cloud environments (Azure, AWS, or GCP)
Version control (Git)
Airflow, Prefect, dbt, or cloud-native orchestration
CI/CD and deployment automation
Data warehousing fundamentals (star schema, staging patterns)
Coaching and mentoring skills
Communication skills
Organisational skills
Problem-solving mindset
Ability to explain complex engineering concepts

Some tips for your application 🫡

Show Your Passion for Coaching: When you write your application, let your enthusiasm for coaching shine through! We want to see how excited you are about helping others become confident data engineers. Share any relevant experiences or stories that highlight your passion.

Tailor Your Application: Make sure to customise your application to fit the Data Engineering Coach role. Highlight your technical skills and experience with pipelines, orchestration, and debugging. We love seeing how your background aligns with what we do at iO-Sphere!

Be Clear and Concise: Keep your writing straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary. Make it easy for us to understand your qualifications and why you’d be a great fit for our team.

Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen on joining our awesome team at iO-Sphere!

How to prepare for a job interview at IO Sphere

✨Know Your Stuff

Make sure you brush up on your technical skills, especially in Python, SQL, and ETL/ELT pipeline design. Be ready to discuss your past experiences with building production pipelines and debugging systems. This will show that you have the hands-on experience they’re looking for.

✨Show Your Coaching Potential

Even if you haven’t coached before, think about how you can convey your ability to explain complex concepts simply. Prepare examples of how you've helped others understand technical topics or overcome challenges. This will demonstrate your potential as a coach.

✨Emphasise Problem-Solving Skills

iO Sphere values problem-solving and system thinking. Be prepared to share specific instances where you tackled real-world problems, particularly in data engineering. Highlight your structured approach to problem-solving and how it led to successful outcomes.

✨Be Ready to Collaborate

Since the role involves working closely with other coaches and teams, think about how you can contribute to a collaborative environment. Share examples of how you’ve worked in teams to improve processes or deliver projects. This will show that you’re a team player who can thrive in their culture.

Data Engineering Coach in Glasgow
IO Sphere
Location: Glasgow
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