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Computappoint

AI & Data Technical Trainer

Computappoint Billingsgate
60,000 to 65,000
32 - 40 hour


Show Recently closed jobs

    Computappoint

    AI & Data Technical Trainer

    Computappoint Billingsgate
    60,000 to 65,000
    32 - 40 hour
    Status Open
    Apply now

    Apply on the employer's website


    What we ask

    Education

    No minimum education required

    What we offer

    Salary
    £60,000 to £65,000
    Hours
    32 to 40 hours per week
    Employment type
    permanent

    Job description

    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. 
    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.  
    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
    Salary description

    £60000.00 - £65000.00 per year

    Apply now

    Apply on the employer's website

    Apply now

    Apply on the employer's website


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