At a Glance
- Tasks: Coach and mentor aspiring data engineers while teaching practical skills.
- Company: Join Corndel, a fast-growing UK training provider with a supportive culture.
- Benefits: Enjoy fully remote work, professional development, and a flexible 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 engineers.
- 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 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.
Data Engineer - Level 5 Coach in London employer: Corndel
Corndel is an exceptional employer that champions a remote, flexible, and supportive working environment, allowing you to shape AI and ML capabilities across the UK. With a strong focus on inclusivity and professional growth, we empower our employees to excel in their roles while making a meaningful impact through education. Join us to be part of a values-driven culture that prioritises quality, ethics, and the responsible application of technology.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer - Level 5 Coach in London
✨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 Corndel!
✨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 Engineer - Level 5 Coach at Corndel.
✨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 Corndel.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer - Level 5 Coach at Corndel, 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 Engineer - Level 5 Coach in London
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 Corndel, 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 Corndel. 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 Corndel
✨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 Corndel!
✨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.
