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- Tasks: Design and maintain data pipelines while developing AI and analytics solutions.
- Company: Cyber Security training courses with a collaborative engineering culture.
- Benefits: Hybrid work model, structured career development, and high-impact projects.
- Other info: Exciting opportunities for career growth in a supportive environment.
- Why this job: Join a dynamic team and work on innovative AI solutions across various industries.
- Qualifications: Strong programming skills in Python and SQL, plus data engineering experience.
The predicted salary is between 40000 - 50000 £ per year.
Cyber Security training courses is looking for a Data & AI Engineer for a hybrid role in Newcastle upon Tyne. This position involves designing and maintaining data pipelines, as well as developing AI and analytics solutions. Successful candidates should have strong programming skills in Python and SQL and experience in data engineering. The role promises high-impact projects across various industries and a collaborative engineering culture with structured career development opportunities.
Data & AI Engineer: Scalable Pipelines & GenAI employer: Cyber Security training courses
Contact Detail:
Cyber Security training courses Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data & AI Engineer: Scalable Pipelines & GenAI
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that Data & AI Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and AI projects. We want to see your Python and SQL prowess in action, so don’t hold back on sharing your best work!
✨Tip Number 3
Prepare for those interviews! Brush up on common technical questions related to data engineering and AI. We suggest doing mock interviews with friends or using online platforms to get comfortable with the process.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data & AI Engineer: Scalable Pipelines & GenAI
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your programming skills in Python and SQL right from the get-go. We want to see how your experience aligns with the role, so don’t hold back on showcasing your data engineering expertise!
Tailor Your Application: Take a moment to customise your application for this specific role. Mention any relevant projects or experiences that relate to designing and maintaining data pipelines or developing AI solutions. It’ll make you stand out to us!
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that are easy to read. Use bullet points if necessary to break down your achievements and skills.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. We can’t wait to hear from you!
How to prepare for a job interview at Cyber Security training courses
✨Know Your Tech Inside Out
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. Having concrete examples will show your expertise and how you can contribute to their high-impact projects.
✨Understand the Company’s Mission
Research Cyber Security training courses and understand their focus on security and analytics. Tailor your answers to reflect how your skills in data engineering can help them achieve their goals. This shows that you're not just looking for any job, but that you're genuinely interested in what they do.
✨Prepare for Collaborative Questions
Since the role emphasises a collaborative engineering culture, be prepared to discuss how you've worked in teams before. Think of examples where you’ve successfully collaborated on projects, resolved conflicts, or contributed to a team’s success. This will highlight your fit within their culture.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the types of projects you might work on or how they support career development. This not only shows your interest but also helps you gauge if the company is the right fit for you.