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- Tasks: Coach and mentor aspiring data engineers through practical sessions and workshops.
- Company: Join Corndel, a fast-growing UK training provider with a supportive culture.
- Benefits: Enjoy fully remote work, professional development, and a flexible work environment.
- Other info: Embrace diversity in a collaborative team focused on quality and inclusion.
- Why this job: Make a lasting impact by shaping the next generation of data engineering professionals.
- Qualifications: Experience in data engineering and a passion for mentoring others.
The predicted salary is between 45000 - 55000 £ per year.
Remote (UK) | National travel as required
Help shape the next generation of data engineers. Are you an experienced data engineer who enjoys solving complex problems and developing people? At Corndel, we’re looking for a Senior Data Engineer / Data Engineering Coach to help experienced professionals grow into confident, credible data engineers through our Level 5 Data Engineering programme. This is a role for someone who wants to stay close to modern data engineering practice while making a wider, longer-lasting impact through coaching, mentoring, and teaching.
Why Corndel?
- Corndel is a multi award-winning UK training provider, partnering with some of the country’s largest and most exciting organisations to develop capability at scale.
- We’re proud to be one of the fastest-growing companies in the UK.
- Deeply committed to quality, inclusion, and learner impact.
- A genuinely flexible, remote-first employer.
- An organisation where professional judgement and ethics matter.
You’ll join a supportive, entrepreneurial culture where your voice is heard and your impact is visible.
The Role
As a Data Engineering Coach (Level 5), you’ll work with learners who are already in the workplace, helping them connect theory to practice and grow from task-based execution into confident, reflective data engineering professionals.
You’ll:
- Coach and mentor a caseload of learners through 1:1 sessions and workshops.
- Teach practical data engineering concepts in a way that’s clear, relevant, and grounded in real-world experience.
- Help learners design and build reliable, scalable, secure data solutions – not just working code.
- Guide learners through assessments and portfolios with high standards and supportive feedback.
- Model strong professional judgement around performance, cost, security, privacy, and ethics.
This is a people-focused role with strong technical depth, ideal for someone who enjoys explaining why as much as how.
What You’ll Bring
Essential:
- Hands-on experience as a Data Engineer or closely related role (Senior / Lead / BI / Data-focused DevOps).
- Strong working knowledge of SQL (including complex queries and optimisation).
- Python for data pipelines and automation.
- Data modelling and normalisation.
- Batch data pipeline design.
- Cloud data platforms (Azure preferred; AWS/GCP welcomed).
- Understanding of data security, privacy, and ethical data use.
- Experience coaching, mentoring, or supporting others.
- The ability to explain complex ideas clearly and thoughtfully.
Nice to have:
- Azure data engineering certifications (or willingness to gain them).
- Experience with tools such as Airflow, dbt, Spark, Databricks, CI/CD.
- Workshop facilitation or structured learning delivery experience.
What Success Looks Like
- Learners trust you as a credible, supportive data engineering professional.
- Learners complete the programme and apply learning confidently in their roles.
- Data solutions learners build are robust, well-designed, and sustainable.
- You contribute positively to a collaborative, high-performing delivery team.
Who This Role Is Perfect For
You might be:
- A senior data engineer looking for more impact than another delivery role.
- A technical professional who enjoys mentoring and developing others.
- Someone who values quality, integrity, and inclusion as much as performance.
- A practitioner ready to shape not just systems but careers.
What We Offer
- Fully remote working with flexibility and autonomy.
- A supportive, inclusive culture with high standards.
- Investment in your professional development and certifications.
- The chance to influence data capability across multiple organisations.
- Work that’s meaningful, people-centred, and intellectually rewarding.
We welcome applications from candidates of all backgrounds. However, please note that we’re currently unable to offer visa sponsorship, so you’ll need to have existing right to work in the UK to be considered for this role.
As part of our commitment to create an inclusive workplace where all colleagues can be their true selves, excel in their roles and progress in their careers, we recognise the importance of embracing the diversity in the working population and making Corndel a fully accessible employer.
As Corndel is a Disability Confident Employer, we make sure that a fair and proportionate number of disabled applicants who meet the minimum criteria for a job will be offered an interview. If you would like to be considered under this scheme, when submitting your application, please select the appropriate option to let us know that you have a disability. Please note this does not mean that all disabled people are entitled to an interview; in some recruitment situations such as peak times, we might need to limit the overall numbers of interviews we offer.
If you have a disability that might affect any stage of the recruitment process, please let us know about any help or reasonable adjustments you need before any interview or assessment. We’ll work with you to make sure any appropriate support is in place and make the application process a more positive experience.
Corndel is committed to safeguarding and safer recruitment practices and will undertake pre-employment checks on the successful candidate, including Standard DBS Disclosure.
Coach - Data Engineer Level 5 in London employer: Corndel
Contact Detail:
Corndel Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Coach - Data Engineer Level 5 in London
✨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 opportunities. You never know who might have a lead or be able to refer you to a role that fits your skills.
✨Tip Number 2
Get your online presence sorted! Make sure your LinkedIn profile is up-to-date and showcases your data engineering skills. Join relevant groups and participate in discussions to get noticed by potential employers.
✨Tip Number 3
Practice your interview skills! Mock interviews can help you articulate your experience and technical knowledge clearly. Focus on explaining complex concepts simply, just like you would when coaching others.
✨Tip Number 4
Apply through our website! We love seeing candidates who are genuinely interested in joining us at Corndel. Tailor your application to highlight how your experience aligns with our mission of developing the next generation of data engineers.
We think you need these skills to ace Coach - Data Engineer Level 5 in London
Some tips for your application 🫡
Show Your Passion for Data Engineering: Let us see your enthusiasm for data engineering in your application! Share specific examples of how you've tackled complex problems and helped others grow in this field. We love hearing about your journey!
Tailor Your Application: Make sure to customise your application to highlight your relevant experience and skills. Use keywords from the job description, like SQL, Python, and coaching, to show us you're a perfect fit for the role.
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so avoid jargon and focus on communicating your ideas effectively. Remember, we want to understand your experience easily!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of being noticed. It’s super easy, and you'll be part of our exciting journey at Corndel. Don’t miss out on this opportunity!
How to prepare for a job interview at Corndel
✨Know Your Stuff
Make sure you brush up on your data engineering skills, especially SQL and Python. Be ready to discuss complex queries and how you've used these tools in real-world scenarios. This will show that you’re not just a coach but also a hands-on expert.
✨Showcase Your Coaching Experience
Prepare examples of how you've successfully mentored or coached others in the past. Think about specific instances where your guidance made a difference. This will highlight your ability to connect theory to practice, which is key for this role.
✨Understand Their Values
Familiarise yourself with Corndel's commitment to quality, inclusion, and learner impact. Be ready to discuss how your values align with theirs and how you can contribute to their supportive culture. This shows you’re not just looking for a job, but a place where you can make a meaningful impact.
✨Prepare Questions
Have a few thoughtful questions ready to ask during the interview. This could be about their training methods, team dynamics, or future projects. It demonstrates your genuine interest in the role and helps you assess if it’s the right fit for you.