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Our unique training programme prepares consultants in the latest tools and technologies, giving them the skills and knowledge needed to help our clients transform

  • 15 weeks of intensive training, designed and delivered by industry experts
  • Access to the latest industry-relevant tools, technologies and techniques
  • Paid to train
  • Learn in an agile environment that closely reflects the working world
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Data lab

State-of-the-art lab

Our training spaces are equipped with the latest tools and technologies for our consultants to develop and test their skills in an agile environment.

02
Development portal

24/7 development portal

Our bespoke, 24/7 development portal contains tons of useful resources and tools designed to support your ongoing development

15 weeks

Data Engineering

Learn to organise, cleanse, align, and correlate complicated data sets to give better insight. 

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Training syllabus

We train our Data Engineers to be competent in cloud ecosystems, focusing on the latest technologies and programming software, including Python, SQL, Alteryx, and Tableau, as well as an overview of Machine Learning.

  • Stakeholder Engagement
  • Problem Solving
  • Presentation Skills
  • Workplace Etiquette
  • Client Meeting Training
  • Agile
  • Infrastructure & Cyber
  • Data Modelling
  • Tableau
  • Databases (SQL & NoSQL)
  • Cloud Engineering
  • Python
  • Data Visualisation
  • ETL
  • DevOps
  • Microservices & APIs
  • Big Data Engineering
  • Alteryx
  • ...and more

Consultant stories

Deafault insight

Anya Vithlani

Data Engineer

“Before joining Kubrick, I didn’t have any coding experience. Now, I feel confident in my coding abilities.”

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15 weeks

Data Management

Learn to integrate technology, data management and domain knowledge with data governance expertise to meet key business objectives.

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Training syllabus

Trained in various data management territories, our Data Management Consultants combine relevant practical applications and conceptual theories to articulate, shape, and implement high-quality data governance within client organisations.

  • Stakeholder Engagement
  • Problem Solving
  • Presentation Skills
  • Workplace Etiquette
  • Client Meeting Preparation
  • Agile
  • Infrastructure & Cyber
  • Data Modelling
  • Databases (SQL)
  • Python
  • Intro to Cloud
  • Data Visualisation
  • Applied Data Warehouse
  • Alteryx
  • Tableau
  • Collibra
  • Data Quality
  • Master Data Management
  • Data Management Principles (DAMA)
  • ...and more

Consultant stories

Deafault insight

Isabel Becker

Data Management Consultant

"I was very attracted to Kubrick’s emphasis on bringing more women into the data industry – and I wanted to be one of them!"

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15 weeks

Data Product

Learn to implement a blend of technical and business analysis skills to develop and deliver data-driven solutions for organisations.

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Training syllabus

Our Data Product Consultants fully understand the needs and requirements of a business whilst being an intermediary between data, business and technology. Skilled in the relevant data technologies, you will utilise your skills to translate data-driven solutions to internal stakeholders.

  • Developing an Analytical Mindset
  • Business Analysis Practice
  • Project Management
  • Change Delivery Management
  • Risk Management
  • SQL for Analytics
  • Agile Development Life Cycle
  • Tableau Data Visualisation
  • Alteryx
  • QA Testing and Behaviour Driven Development
  • Python for Analytics
  • ...and more

Consultant stories

Deafault insight

Ezra Kirk

Data Product Consultant

"Training to become a Data Product Consultant was very broad. It has made me data literate and given me a variety of 'soft' skills that I use every single day when dealing with colleagues and stakeholders."

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15 weeks

Machine Learning Engineering

Learn about the most industry-relevant data science techniques, including Machine Learning models such as linear regression, random forests, and neural networks.

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Training syllabus

Apply data science algorithms to solve real-world challenges like price prediction modelling, image classification, and sentiment analysis.

  • Stakeholder Engagement
  • Problem Solving
  • Presentation Skills
  • Workplace Etiquette
  • Client Meeting Training
  • Agile
  • Infrastructure & Cyber
  • Data Modelling
  • Tableau
  • Databases (SQL & NoSQL)
  • Cloud Engineering
  • Python
  • Data Visualisation
  • ETL
  • DevOps
  • Microservices & APIs
  • Big Data Engineering
  • Alteryx
  • ...and more

Consultant stories

Deafault insight

Kate Brooks

Machine Learning Engineering

"I completed the Machine Learning Engineering stream, despite having no prior experience in this area."

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15 weeks

Cloud Engineering

Accelerate digital transformation into the cloud from inception to deployment.

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Training syllabus

We train our Cloud Engineers to be fully versed in the capabilities and tools of cloud ecosystems, and to be multi-cloud trained and agile process aware, utilising platforms like Azure and AWS. Our Cloud Engineers learn industry standard tools like Terraform and Ansible, have excellent analytical and problem-solving ability, provision both Software and Data Engineering environments, and have experience in the use of cloud-native security and costing tools.

  • Stakeholder Engagement
  • Requirements Engineering
  • Agile Methodology
  • Problem Solving
  • Presentation Skills
  • Workplace Etiquette
  • Client Meeting Preparation
  • Hybrid & Cloud-Native Architecture
  • Data Storage, Databases, and SQL
  • Cost Management
  • Cloud Security
  • Multi-Cloud Aware: AWS, Microsoft Azure, Google Cloud Platform
  • DevOps Mindset and industry-standard tools
  • ...and more

Consultant stories

The Kubrick impact

We exist to help solve the global technology skills emergency which is holding back the advancement of society and people's lives

People Trained into Data, AI and Cloud

>600

Female consultants

40%

Clients recommend Kubrick's services

88%

Meet the trainers

Kubrick’s world-class training is curated and delivered by our in-house team of industry experts, whose average career spans 16 years as leaders in the data and transformation space. They combine cutting-edge technology with business-focused principals to address the challenges of businesses today.