At a Glance
- Tasks: Design and build scalable data pipelines and AI solutions for impactful projects.
- Company: Leading tech organisation focused on data-driven transformations.
- Benefits: Up to £50,000 salary, hybrid work, and career development opportunities.
- Other info: Opportunity to work across various industries with excellent growth potential.
- 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.
We are supporting a leading organisation within the Technology and Data space that delivers 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.
RoleAs 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
- 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
Appointment to this role is subject to eligibility for and successful attainment of UK Security Check (SC) clearance.
Working ModelHybrid 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 Manchester employer: Cyber Security training courses
Join a leading organisation in the Technology and Data space, where you will be part of a collaborative and inclusive engineering culture that values innovation and creativity. With hybrid working options in vibrant cities like Newcastle or Manchester, you will have access to structured career development and training opportunities, allowing you to grow your skills while working on high-impact data and AI initiatives across various industries.
Contact Details:
Cyber Security training courses Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data and AI Engineer in Manchester
✨Tip Number 1
Network like a pro! Reach out to people 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 recommend sharing this on platforms like GitHub to give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and problem-solving abilities. We suggest doing mock interviews with friends or using online resources to get comfortable explaining complex concepts in simple terms.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented Data & AI Engineers like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Data and AI Engineer in Manchester
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 cloud platforms. We want to see how you fit into our tech-savvy 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 specific projects or achievements that showcase your problem-solving skills.
Showcase Your Projects:If you've worked on relevant projects, whether in a professional setting or as personal endeavours, make sure to include them. We love seeing practical examples of your work, especially those involving data pipelines or AI solutions. It gives us a glimpse of what you can bring to the table!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets to the right people. Plus, it shows us you’re keen on joining our team at StudySmarter. Let’s get your application rolling!
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 projects you've worked on that involved AI solutions. The more specific examples you can provide, the better!
✨Understand the Business Context
It's crucial to connect your technical skills to business outcomes. Think about how your work as a Data & AI Engineer can drive decision-making and innovation. Be prepared to explain how your solutions have made a tangible impact in previous roles.
✨Communicate Clearly
You’ll need to explain complex technical concepts to non-technical stakeholders. Practice simplifying your explanations without losing the essence of what you’re trying to convey. This will show that you can bridge the gap between tech and business.
✨Show Enthusiasm for Collaboration
This role involves working closely with analysts, engineers, and other stakeholders. Highlight your teamwork experiences and how you’ve successfully collaborated on projects. A positive attitude towards collaboration can set you apart from other candidates.
