Company Company Profile
Are you a graduate or junior professional looking for a career in tech but lack the relevant skills or experience to take that leap? Join us and we’ll equip you with the technical skills and professional experience to thrive in the field and rapidly accelerate.
We're an award-winning data and tech consultancy that's on a mission to unlock potential for people and organisations. We do this by hiring diverse, talented individuals from a range of backgrounds and transforming them into skilled next-gen technology consultants who are equipped to support our clients across a range of challenges.
We're proud to be listed as a Times Top 100 Graduate Employer and were recently shortlisted for 'Best Graduate Employer for Women' by Women in Tech and 'Best Graduate Employer by DataIQ, for our ongoing commitment to development and creating career opportunities in tech.
Our Training and Practices:
Through our unique, 2.5-year development program, you’ll be introduced to market-leading skills that will prepare you for the world of consulting, before working on real-world projects with leading clients across industries and contributing directly towards their success.
We’ll support you from day one and empower you to seek out new opportunities in and outside of Kubrick that will strengthen your skills, build your experience, and help you accelerate. Plus, you’ll have access to our ever-expanding network of thought leaders, technical experts and more, building your knowledge and opening doors.
Overview of our practices:
Data Engineering
As a Data Engineer, you will be responsible for organising, cleansing, aligning, and correlating our clients’ raw data into usable information that can lead to better business insights and faster, more accurate solutions, thereby helping maximise their performance.
There’s a wealth of data out there that often doesn’t correlate with other data sets, due to the way it has been collected. It’ll be your job to take that data and make sure it’s cleaned and organised so it can be interpreted by other data teams and business stakeholders and lead to positive change.
You are also responsible for working with stakeholders to understand their requirements and sourcing information through a variety of means, making it the perfect role for anyone with an inquisitive mindset that loves problem-solving and thinking outside of the box to reach solutions.
Data Product
As a Data Product consultant, you are often the commercial voice in an organisations’ data team and play a crucial role as ‘translator’ between the data team and the organisations’ business function, allowing both to understand each other and work together to drive transformation.
Our client projects vary, and you may find yourself working on data governance or data quality, in which you are responsible for ensuring all data is accessible, usable, safe, and trusted. Alternatively, your role may focus on data architecture, which is the backbone to any organisations' data strategy. Regardless of the project, we will give you the relevant tools and guidance that will allow you to bring about positive change.
Data Management
As a Data Management consultant, you are often the commercial voice in an organisations’ data team and play a crucial role as ‘translator’ between the data team and the organisations’ business function, allowing both to understand each other and work together to drive transformation.
Our client projects vary, and you may find yourself working on data governance or data quality, in which you are responsible for ensuring all data is accessible, usable, safe, and trusted. Alternatively, your role may focus on data architecture, which is the backbone to any organisations' data strategy. Regardless of the project, we will give you the relevant tools and guidance that will allow you to bring about positive change.
Machine Learning Engineering
As a Machine Learning Engineer, you’ll design and create data science algorithms that are capable of learning and solving real-world challenges through price prediction modelling, image classification, sentiment analysis, and more.
This is a widely varied and hugely rewarding role that would suit someone who is mathematically minded and enjoys coming up with solutions. You’ll typically work as part of a larger team of data scientists, data engineers, data analysts, data architects, and more on a variety of problems and challenges, meaning this role would also suit someone who enjoys collaborating with others.
Cloud Engineering
As a Cloud Engineer, you’ll be critical in our clients’ digital transformation, helping evaluate their current infrastructure, explore options for moving to the cloud, and then oversee the migration and the maintenance of the new system. You will collaborate with your colleagues to embed cloud technology and best practice, revolutionising the capabilities and efficiency of teams and business functions of organisations in all industries.
This is a widely varied and hugely rewarding role that would suit someone who is mathematically minded and enjoys coming up with solutions to drive positive change.
See all of our open opportinities here.
What you’ll receive upon joining:
- Four months of salaried training, delivered by technical professionals
in a hybrid setting alongside a cohort of others, in the latest data
engineering tools, technologies, and processes.
• Commerciality training to ensure you are prepared for data engineering projects post-training.
• Long-term, salaried placements* with leading organisations once you have passed the training, where you will work as a consultant on a variety of data engineering projects alongside a team of others for up to two years.
• Opportunities to work on internal projects with Kubrick and continue upskilling between client placements.
• Access to accreditations through tech partners including Microsoft, Tableau, Amazon, Google, and more which are paid-for by us.
• Dedicated support throughout training, client placements, and internal projects from our in-house team.
• The opportunity to join your client as a permanent employee after 2 years of client placements or remain with us and continue progressing internally.
• The opportunity to stay connected to us through our alumni program even if you do choose to leave after 2 years of client placements.
• Rapid career acceleration.
*Please note, client placements are arranged by Kubrick. You will not be expected to find your own placements however you will be expected to interview.
Diversity statement:
At Kubrick, we not only strive to bridge the skills-gap in data and next-generation technology, but we are also committed to playing a key role in improving diversity in the tech industry. To that effect, we welcome candidates from all backgrounds, and particularly encourage applications from groups currently underrepresented in the industry, including women, people from black and ethnic minority backgrounds, LGBTQ+ people, people with disability and those who are neurodivergent.
We know that potential applicants are sometimes put off if they don’t meet 100% of the requirements. We think individual experience, skills and passion make all the difference, so if you meet a good proportion of the criteria, we’d love to hear from you.
We are committed to ensuring that all candidates have an equally positive experience, and equal chances for success regardless of any personal characteristics. Please speak to us if we can support you with any adjustments to our recruitment process.
