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.
- Other info: Be part of a dynamic team that values innovation and learner success.
- 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.
The predicted salary is between 34000 - 51000 £ per year.
You have 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
- Shaping 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.
- Working 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.
- Getting 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 Oxford 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 opportunities for meaningful impact in the rapidly evolving field of data engineering, you'll not only enhance your own skills but also play a crucial role in transforming the careers of our learners.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineering Coach in Oxford
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like IO Sphere!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Engineering Coach at IO Sphere.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like IO Sphere.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineering Coach at IO Sphere, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Engineering Coach in Oxford
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at IO Sphere, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at IO Sphere. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at IO Sphere
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at IO Sphere!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.