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- Tasks: Design data pipelines and develop AI solutions in a collaborative environment.
- Company: Cyber Security training courses with a focus on innovation.
- Benefits: Salary up to £50,000, career development, and a supportive team culture.
- Other info: Based in Newcastle upon Tyne or Manchester with great career growth opportunities.
- Why this job: Join a dynamic team and make an impact in the field of data and AI.
- Qualifications: Strong Python and SQL skills, experience with data pipelines, and SC eligibility.
The predicted salary is between 50000 - 50000 £ per year.
Cyber Security training courses is seeking a Data & AI Engineer based in Newcastle upon Tyne or Manchester, offering a salary of up to £50,000. The role entails designing data pipelines, integrating data from various sources, and developing AI solutions.
Candidates must have:
- Strong Python and SQL skills
- Experience with data pipelines
- Eligibility for UK Security Check
Enjoy working in a collaborative engineering culture with opportunities for career development.
Hybrid Data & AI Engineer (SC Eligible) in Newcastle upon Tyne employer: Cyber Security training courses
Contact Detail:
Cyber Security training courses Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid Data & AI Engineer (SC Eligible) in Newcastle upon Tyne
✨Tip Number 1
Network like a pro! Reach out to current employees at the company or in similar roles on LinkedIn. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio or a GitHub repository showcasing your Python and SQL projects. This is a great way to demonstrate your expertise in data pipelines and AI solutions.
✨Tip Number 3
Practice makes perfect! Get ready for those technical interviews by brushing up on common data engineering questions and coding challenges. We can even set up mock interviews with friends to boost our confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive opportunities listed there that you won’t find anywhere else.
We think you need these skills to ace Hybrid Data & AI Engineer (SC Eligible) in Newcastle upon Tyne
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your Python and SQL skills, as well as any experience with data pipelines. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the Data & AI Engineer position and how you can contribute to our collaborative culture. Keep it engaging and personal.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled challenges in previous roles, especially related to data integration or AI solutions. We love seeing candidates who can think critically and innovate!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Let’s get started on this journey together!
How to prepare for a job interview at Cyber Security training courses
✨Know Your Tech Stack
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've designed data pipelines or developed AI solutions. This will show that you not only understand the theory but can also apply it in real-world scenarios.
✨Showcase Your Problem-Solving Skills
Prepare to talk about challenges you've faced in previous roles, especially related to data integration and AI development. Use the STAR method (Situation, Task, Action, Result) to structure your answers, making it easy for the interviewer to follow your thought process.
✨Understand Cyber Security Basics
Since the role is within a Cyber Security training context, having a basic understanding of cyber security principles can set you apart. Familiarise yourself with common threats and how data engineering plays a role in mitigating these risks.
✨Emphasise Collaboration
This position values a collaborative engineering culture, so be prepared to discuss how you've worked effectively in teams. Share examples of how you’ve contributed to group projects and how you handle feedback and differing opinions.