Computappoint
IT & Data Technical Trainer

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AI & Data Technical Trainer
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 Title: AI & Data Technical Trainer
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.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
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.


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Services offered by Computappoint Limited are those of an Employment Business and/or Employment Agency in relation to this vacancy.
Computappoint do not use AI to filter or assess candidates, we use experienced and dedicated recruiters, who want to match the best people to roles.
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