Join Kubrick’s Data Engineering practice without any prior skills or experience in data, AI, or technology and after 15 weeks of salaried, instructor-led training in the latest technical and professional skills, you’ll work on real-world data projects for a leading UK client.
You will also have access to ongoing development opportunities post-training including accreditations from tech partners such as Google, Amazon, Microsoft, Collibra, and more, plus a bespoke learning portal that will be available to you throughout your employment with Kubrick and beyond. Lastly, you will be supported from day one of training and throughout your client projects by our Readiness and Consultant Success teams, to ensure you get the most out of your experience with Kubrick.
As a Data Engineer, you will organise, cleanse, align, and correlate our clients’ raw data into usable information that can lead to better business insights and faster, more accurate solutions, thereby helping maximise their performance.
You will also work with stakeholders to understand their requirements and source 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.
During the 15 weeks of training, you will be introduced to the core tools and technologies used by data teams across organisations and industries. You will also learn key professional skills such as stakeholder engagement, agile methodology, communication and presenting that will prepare you for your future in the technology industry.
What we need from you:
- STEM degree
- Strong problem-solving skills
- Strong communication skills, both oral and written
- Strong collaboration skills
- Flexible on location as our consultants often work across the UK
£32,000-year one salary, £40,000-year two salary, £55-65,000 earning potential in year three
A bit about us:
We are an award-winning consultancy that’s committed to closing the digital skills gap and making data, AI, and technology accessible for all. We do this by hiring graduates and junior professionals without any relevant skills or experience in data, AI, or technology, and paying them to train over 15 weeks. Once trained, our consultants are assigned to leading UK clients for a period of two years where they apply the skills acquired to real-world projects.
In addition to closing the digital skills gap, we are working hard as an organisation to close the gender gap that’s existed for too long in data, AI, and tech. We are proud partners of Women in Data – an organisation that focuses on encouraging diverse representation in the industry - and have an internal committee of diversity champions who are focused on building a more inclusive environment for all. We also review our benefits and policies on a regular basis to ensure they are supportive of all genders and diversities, and pay our consultants based on length of time spent at Kubrick, over any other factor.
We offer a wide range of benefits at Kubrick that are designed to support staff with their physical, mental, and financial wellbeing. These include but aren’t limited to:
- Paid accreditations
- A bespoke online learning platform
- Cycle to work scheme
- Employee referral scheme
- Mental health first aiders
- Free Specsavers eyecare vouchers
- Access to Perkbox Premium (including discounted gym memberships, wellbeing portal with free counselling sessions and advice, discounted food and drinks, plus more)
- Laptops and all training materials provided by Kubrick throughout training
- Pension scheme
- Dedicated support
- Volunteering opportunities
Everyone is welcome to apply for our roles, and we are determined to ensure that no applicant or employee receives less favourable treatment because of gender, race, disability, sexual orientation, religion, belief, age, marital status, background, pregnancy or caring responsibilities. We also recognise the importance of diversity of thought within our teams and are fully committed to embracing the talents of people with autism, dyslexia, ADHA, and other forms of neurocognitive variation.