At a Glance
- Tasks: Build and implement data platforms that drive real business value for top UK clients.
- Company: Join Kubrick, a forward-thinking company at the forefront of data engineering.
- Benefits: Salaried training, competitive pay, and opportunities to work with leading industries.
- Other info: Exciting career path with hands-on experience in a dynamic environment.
- Why this job: Shape the future of data architecture and make an impact with AI technologies.
- Qualifications: Passion for data engineering and a willingness to learn.
The predicted salary is between 63000 - 77000 £ per year.
Kubrick is recruiting for a Forward Deployed Data & Platforms Engineer after completing an eight-week salaried training.
The role sits at the intersection of engineering and business, delivering production-grade data platforms for UK-based customers.
Post-training, you'll work with leading UK clients across industries, shaping data architectures, implementing modern data platforms, and driving real business value from AI investments.
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Data & Platforms Engineer - Training to UK Consultant in London employer: Kubrick
At Kubrick, we pride ourselves on being an excellent employer, offering a dynamic work culture that fosters innovation and collaboration. Our commitment to employee growth is evident through tailored development programmes and opportunities to work with cutting-edge technologies like Azure AI & Data. Join us in our vibrant location, where diversity is celebrated, and every team member's contribution is valued, making your work both meaningful and rewarding.
StudySmarter Expert Advice🤫
We think this is how you could land Data & Platforms Engineer - Training to UK Consultant in London
✨Get in on the Data Science Meetups
Data science is all about community! Join local meetups or workshops related to data science and analytics. It's a fab way to network with industry professionals, learn about the latest trends, and maybe even snag a lead on an upcoming opportunity at companies like Kubrick.
✨Show Off Your Projects
As a trainee, showcasing your skills is key. Start a GitHub repository with your projects or analytics problems you've solved. Share them on platforms like Kaggle, and make sure to link them on your LinkedIn. Potential employers, including Kubrick, love seeing hands-on experience!
✨Connect with Alumni
Tap into your university's alumni network! Reach out to past graduates who are working in data science roles and see if they'd be willing to chat. They often have great insights into internship openings and can even refer you internally, increasing your chances with companies like Kubrick.
✨Find Internships through Portals and Workshops
Keep an eye out for career fairs and workshops specifically targeting data science roles. Many companies, including Kubrick, often scout for trainee talent at these events. Plus, applying directly through job portals and company websites can give you an edge!
We think you need these skills to ace Data & Platforms Engineer - Training to UK Consultant in London
Some tips for your application 🫡
Show Off Your Data Skills:Make sure to highlight your data-related skills clearly in your CV. If you've worked on any projects using Python or R, be sure to mention them. Also, if you've dabbled in machine learning, include that too—employers love a hands-on learner!
Include Relevant Projects:Since this is a trainee position, listing your university projects or any personal data science projects can really impress. Attach a GitHub link if possible, so Kubrick can see your code and your thought process. Practical experience, even if it's academic, can set you apart!
Personalise Your Cover Letter:Use your cover letter to show how passionate you are about data science. Describe why you're excited about the opportunity at Kubrick and how the role aligns with your career goals in this dynamic field. We want to see your enthusiasm and potential to grow.
Tailor Your CV for Trainees:Since you’re applying for a trainee position, focus on academic achievements and any relevant coursework in your CV. Don’t sweat the lack of professional experience—your ability to learn and adapt is what counts. Also, make sure to align your CV format with data science norms; keep it clear and concise!
How to prepare for a job interview at Kubrick
✨Show Off Your Data Skills
Make sure you're ready to chat about the tools we use in data science, like Python, R, or SQL. Brush up on key concepts like data cleaning, analysis, and visualisation — interviewers often delve into these areas to see how you think and approach problems.
✨Prepare for Practical Assessments
Don't be surprised if you're given a case study or data set to analyse during the interview. We should be prepared to demonstrate how we interpret and present data findings — it's a chance to show off our analytical thinking in real time!
✨Highlight Your Passion for Learning
As a trainee, it’s all about showing your enthusiasm for data science! Share any personal projects, online courses, or relevant experiences. This tells Kubrick that we’re eager to grow and develop our skills in this exciting field.
✨Ask Insightful Questions
Use this opportunity to find out more about the team’s projects and tools. Questions like ‘What data challenges are you currently facing?’ can demonstrate our interest while also helping us understand how we might fit into Kubrick’s culture and workflow.
