At a Glance
- Tasks: Lead engaging training sessions on AI and data technologies for diverse audiences.
- Company: Dynamic AI and data practice with a focus on growth and collaboration.
- Benefits: Competitive salary, flexible working, and opportunities for professional development.
- Other info: Join a social team in a vibrant environment with excellent career prospects.
- Why this job: Make a real impact by sharing your knowledge and shaping future data professionals.
- Qualifications: Experience in data engineering and a passion for teaching others.
The predicted salary is between 60000 - 70000 £ per year.
Our client is looking for someone who has spent years in data engineering or technical consultancy and has reached a point where the part they love most is bringing other people along for the ride. They are a growing AI and data practice delivering commercial training programmes on some of the most in-demand technologies in the market, including Starburst, Dell Data Lakehouse, and Data Warehousing architectures.
What you will be doing:
- You will be leading facilitator-driven learning experiences across a range of audiences, from hands-on data engineers to non-technical business leaders making buying decisions, ensuring every single person in the session leaves feeling like it was worth their time and their organisation's money.
- Alongside delivery, you will refine and contribute to course content.
- Beyond the classroom, you will also support prospecting conversations and client-facing workshops, working cross-functionally with advisory and delivery teams.
The kind of person we’re looking for:
- You have a solid technical foundation in data engineering, distributed systems, or data platform architecture. You do not need to be a Starburst expert on day one, but you need to be the kind of person who can get there quickly and then explain it to someone who has never heard of a query engine.
- You have done the technical work and now you want to do the people side.
What is on offer:
- Salary of £60,000 to £70,000, with flexibility for the right person.
- A genuinely social, growing team based in Waterloo two days per week.
- Exposure across training, advisory, and pre-sales from day one.
- The opportunity to shape a training function that is already gaining real commercial traction.
AI and Data Technical Trainer in London employer: TechByte Talent Ltd
Our client is an exceptional employer, offering a vibrant and collaborative work culture in the heart of London. With a focus on employee growth, they provide opportunities to shape innovative training programmes while working alongside a supportive team. The hybrid work model allows for flexibility, ensuring a healthy work-life balance, making it an ideal place for those passionate about sharing knowledge in the rapidly evolving field of AI and data.
StudySmarter Expert Advice🤫
We think this is how you could land AI and Data Technical Trainer in London
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the AI and data space. Attend meetups, webinars, or even local events. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio or a personal project that highlights your expertise in data engineering or training. This will not only impress potential employers but also give you something tangible to discuss during interviews.
✨Tip Number 3
Practice makes perfect! Prepare for interviews by doing mock sessions with friends or mentors. Focus on explaining complex concepts simply, just like you would in a training session. This will help you feel more confident when it’s your turn to shine.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for passionate individuals who want to make a difference in the training world. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace AI and Data Technical Trainer in London
Some tips for your application 🫡
Show Your Passion for Teaching:We want to see your enthusiasm for sharing knowledge! In your application, highlight any experiences where you've trained or mentored others. This will show us that you’re not just about the tech, but also about bringing people along for the ride.
Tailor Your CV and Cover Letter:Make sure your CV and cover letter are tailored to the role. Use keywords from the job description, like 'data engineering' and 'facilitator-driven learning'. This helps us see how your experience aligns with what we’re looking for.
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate well-structured applications that get straight to the heart of your skills and experiences. Avoid fluff – we want to know what makes you a great fit!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at TechByte Talent Ltd
✨Know Your Stuff
Make sure you brush up on your technical knowledge, especially around data engineering and the specific technologies mentioned in the job description. Being able to explain complex concepts simply will show that you can connect with both technical and non-technical audiences.
✨Showcase Your Teaching Skills
Prepare to demonstrate your ability to facilitate learning experiences. Think of examples from your past where you've successfully trained or mentored others. This will highlight your passion for bringing people along for the ride, which is key for this role.
✨Engage with Real Scenarios
Be ready to discuss how you would handle different training scenarios. Consider how you would adapt your approach for various audiences, from hands-on data engineers to business leaders. This shows your versatility and understanding of the audience's needs.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s training programmes and their approach to client engagement. This not only shows your interest but also gives you a chance to assess if the company aligns with your values and career goals.
