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For Companies At a Glance
- Tasks: Design and build scalable data pipelines and AI solutions for impactful projects.
- Company: Leading organisation in technology and data transformations.
- Benefits: Up to £50,000 salary, hybrid work, and career development opportunities.
- Other info: Opportunity to gain exposure to diverse industries and complex systems.
- Why this job: Join a collaborative team and work on cutting-edge data and AI initiatives.
- Qualifications: Experience in data engineering, strong Python and SQL skills required.
The predicted salary is between 45000 - 50000 £ per year.
Location: Newcastle or Manchester - Hybrid
Security Clearance: UK SC eligibility required
The Opportunity
We are supporting a leading organisation within the Technology and Data space that deliver large-scale, technology-enabled transformations. This team specialises in building modern, data-driven solutions that enable better decision-making, automation, and innovation. This role is ideal for a Data Engineer or AI Engineer who enjoys working across the full data lifecycle and wants to build practical, scalable solutions using modern data and AI technologies.
The Role
As a Data & AI Engineer, you will design, build and maintain data pipelines, analytical platforms and AI-enabled capabilities that support business‑critical use cases. You will work closely with analysts, engineers, and stakeholders to translate requirements into robust, production‑ready solutions.
Key responsibilities
- Designing and building scalable data pipelines, datasets, and data models
- Integrating data from multiple structured and unstructured sources
- Developing advanced analytics, machine learning and AI solutions where appropriate
- Building Generative AI solutions using large language models and prompt/context engineering
- Ensuring data quality, reliability, and performance through testing and monitoring
- Optimising data and model performance for scale and efficiency
Required Experience & Skills
- Proven experience in a Data Engineer, Data Developer, AI Engineer or similar role
- Strong programming skills in Python and SQL
- Experience building and maintaining data pipelines
- Exposure to cloud data platforms, data warehouses, or big data technologies
- Strong analytical and problem‑solving skills
- Ability to communicate technical concepts to non‑technical stakeholders
Security & Compliance
Appointment to this role is subject to eligibility for and successful attainment of UK Security Check (SC) clearance.
Working Model
Hybrid working with a Manchester or Newcastle base.
Why Apply?
- Work on high-impact, enterprise-scale data and AI initiatives
- Gain exposure to a wide variety of industries and complex systems
- Be part of a collaborative, inclusive engineering culture
- Access structured career development, training and progression opportunities
Data and AI Engineer 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 Data and AI Engineer in Newcastle upon Tyne
✨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 projects, especially those involving data pipelines and AI solutions. We want to see what you can do, so make sure to highlight your best work!
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and problem-solving abilities. We recommend practicing common data engineering scenarios and being ready to explain your thought process clearly to non-technical stakeholders.
✨Tip Number 4
Don’t forget to 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 and AI Engineer in Newcastle upon Tyne
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Data & AI Engineer role. Highlight your programming skills in Python and SQL, and any experience with data pipelines or AI solutions. We want to see how you can contribute to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data and AI, and how your background makes you a great fit for us. Don’t forget to mention any relevant projects or achievements that showcase your expertise.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex problems in previous roles. We love seeing candidates who can think critically and come up with innovative solutions, especially when it comes to data-driven challenges.
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. Plus, we love seeing applications come in through our own platform!
How to prepare for a job interview at Cyber Security training courses
✨Know Your Tech Inside Out
Make sure you brush up on your programming skills, especially in Python and SQL. Be ready to discuss your experience with data pipelines and any AI solutions you've developed. The more specific examples you can provide, the better!
✨Understand the Business Context
It's crucial to translate technical jargon into business value. Think about how your work as a Data & AI Engineer can impact decision-making and innovation. Prepare to explain your past projects in a way that highlights their significance to non-technical stakeholders.
✨Showcase Your Problem-Solving Skills
Be prepared to tackle some technical challenges during the interview. Practice explaining your thought process when faced with a problem, especially in relation to data quality and performance optimisation. This will demonstrate your analytical abilities.
✨Familiarise Yourself with Generative AI
Since the role involves building Generative AI solutions, make sure you understand large language models and prompt/context engineering. Bring examples of how you've applied these concepts in previous roles or projects to the table.