Accelerate the adoption of your product with specialist training and long-term implementation.
Our opportunities to train are open to graduates from all academic disciplines.
Solve your biggest technology and transformation challenges with our consultants.
We have an impact which sets us apart from other organisations
Trained specialists we have added to the data, AI, and cloud ecosystem
Organisations which we support
The industry average of females in technology roles
Accelerating the careers of your alumni
Kubrick's combination of industry-leading, salaried training and expansive network of global organisations will positively define and accelerate the careers of your graduates.
Accelerating the adoption of your product across industries
Traditional systems integrators have limitations. Our consultants provide specialist skills and knowledge of our partners’ products within our client organisations. The client also has the option of transferring Kubrick staff to their own workforce, retaining IP and ensuring longevity of the product adoption.
Our clients and the challenges we helped solve
We partner with organisations across a range of industries to understand their individual challenges and goals. Our service is designed to deliver results and drive transformation with the right skills, cost and people, whether the focus is on today’s requirements or tomorrow’s targets.
Collibra and Kubrick's partnership enables our joint customers to accelerate their journey to data intelligence by helping them build the data teams and competencies necessary to quickly access the value that lies within data. Kubrick provides the staff with the data skills necessary, to not only deploy and implement Collibra, but also define our clients processes and staff requirements. By working with Kubrick, clients are able to achieve tangible results more quickly so that they can become fully data literate and make insightful decisions based on data they can find, trust, and understand.
We worked with Sainsbury’s in a strategic partnership in order to embed diversity in their data and technology functions.