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 employer: Cyber Security training courses
Join a leading organisation in the Technology and Data space, where you will have the opportunity to work on high-impact, enterprise-scale data and AI initiatives. With a collaborative and inclusive engineering culture, you will benefit from structured career development and training opportunities while enjoying the flexibility of hybrid working in vibrant locations like Newcastle or Manchester. This is an excellent employer for those looking to make a meaningful impact through innovative data-driven solutions.
Contact Detail:
Cyber Security training courses Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Data and AI Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry on LinkedIn or at local meetups. We can’t stress enough how valuable personal connections can be when it comes to landing 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. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨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 folks.
✨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
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 this role. Don’t forget to mention your problem-solving skills and ability to communicate with non-technical folks.
Showcase Relevant Projects:If you've worked on any projects related to data engineering or AI, make sure to include them in your application. We love seeing practical examples of your work, especially if they demonstrate your ability to build scalable solutions and integrate data from various sources.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at StudySmarter!
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 the Company’s Projects
Research the organisation's recent initiatives in data and AI. Understanding their current projects will help you align your skills with their needs and show genuine interest. Plus, it gives you a chance to ask insightful questions during the interview!
