At a Glance
- Tasks: Design and deliver engaging training on AI and data technologies to empower organisations.
- Company: Leading managed service provider with a focus on innovation and collaboration.
- Benefits: Competitive salary, hybrid work, and opportunities for professional growth.
- Other info: Join a dynamic team and influence the next generation of data professionals.
- Why this job: Shape the future of data training and work with cutting-edge technologies.
- Qualifications: Experience in technical training and a strong grasp of AI and data engineering.
A leading managed service provider client of ours is seeking an experienced AI & Data Technical Trainer to deliver engaging learning experiences that help organisations unlock the full value of their data ecosystems. This is an exciting opportunity to play a pivotal role in a forward-thinking AI & Data Practice and Training Academy. You'll work with cutting-edge technologies including Starburst, Dell Data Lake solutions, cloud-native analytics platforms, and modern data warehouse architectures, helping clients and internal teams build the skills required to drive meaningful business outcomes from their data investments. You'll have the chance to shape learning strategies, influence technical adoption, and work alongside industry experts at the forefront of AI, data engineering, and analytics transformation.
Job Type: Permanent
Location: Central London
Working Arrangement: Hybrid
Salary: Up to £65,000 + benefits
The Role:
- Design and develop high-quality technical training programmes focused on Starburst, Dell Data Lakes, and Data Warehousing architectures.
- Create engaging learning materials, hands-on labs, workshops, case studies, and practical exercises that support enterprise analytics adoption.
- Deliver interactive virtual, hybrid, and live training sessions that encourage hands-on learning and knowledge sharing.
- Facilitate workshops rather than traditional classroom-style training, placing learner engagement and participation at the centre of every session.
- Adapt delivery styles for both technical and non-technical audiences using real-world data and AI use cases.
- Gather learner feedback and performance insights to continuously improve training effectiveness and outcomes.
- Stay current with emerging technologies across AI, data lakes, data warehousing, and distributed query engines.
- Collaborate with AI & Data specialists to align learning programmes with strategic business objectives and evolving platform capabilities.
Required experience:
- Proven experience designing and delivering technical training programmes for both technical and non-technical audiences.
- Strong understanding of data engineering concepts, AI/ML fundamentals, and modern data platform architectures.
- Experience with, or exposure to, technologies such as Starburst, Dell Data Lakes, Snowflake, Amazon Redshift, BigQuery, or similar enterprise data platforms.
- The ability to translate complex technical concepts into clear, engaging, and actionable learning experiences.
- Excellent communication, presentation, facilitation, and stakeholder engagement skills.
- Experience delivering interactive learning through workshops, simulations, whiteboarding sessions, and hands-on technical exercises.
- Experience delivering training around modern data architectures, lakehouse environments, distributed SQL engines such as Trino/Presto, and cloud-based analytics platforms.
- Exposure to enterprise AI and advanced analytics initiatives.
- Previous experience within a software vendor, cloud services provider, data platform organisation, or consultancy environment.
AI & Data Technical Trainer employer: Computappoint
At Computappoint, we pride ourselves on being an excellent employer that fosters a collaborative and innovative work culture. Our hybrid working model allows for flexibility, with the opportunity to work mostly remotely while still engaging with the team in London once a month. We are committed to employee growth, offering continuous learning opportunities and a supportive environment where your contributions truly matter.
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We think this is how you could land AI & Data Technical Trainer
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We think you need these skills to ace AI & Data Technical Trainer
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!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Computappoint. 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 Computappoint
✨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!
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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
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✨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.
