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- Tasks: Design and build data pipelines and AI solutions for impactful business use cases.
- Company: Join a tech company that values collaboration and innovation.
- Benefits: Competitive salary, hybrid work model, and career development opportunities.
- Other info: Enjoy a supportive and inclusive engineering culture with growth potential.
- Why this job: Make a real difference in data and AI initiatives across various industries.
- Qualifications: Experience in data engineering, strong Python and SQL skills required.
The predicted salary is between 40000 - 45000 £ per year.
As a Data & AI Engineer, you'll design, build and maintain data pipelines, analytics platforms and AI-powered capabilities all linked to high-impact business use cases. You'll collaborate closely with analysts, engineers and stakeholders to turn requirements into reliable, 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
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 cooperative, inclusive engineering culture
- Access structured career development, training and progression opportunities
Data & AI Engineer in Belfast 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 in Belfast
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at 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, analytics platforms, or any AI projects you've worked on. We love seeing real examples of your work, and it gives you a leg up when chatting with potential employers.
✨Tip Number 3
Prepare for those interviews! Brush up on your Python and SQL skills, and be ready to discuss how you’ve tackled data challenges in the past. We want to hear about your problem-solving skills and how you can communicate complex ideas to non-techies.
✨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’re always on the lookout for passionate candidates who are eager to dive into high-impact data and AI initiatives.
We think you need these skills to ace Data & AI Engineer in Belfast
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data & AI Engineer role. Highlight your experience with data pipelines, analytics platforms, and any AI projects you've worked on. We want to see how your skills match what we're looking for!
Showcase Your Skills: Don’t just list your programming skills in Python and SQL; give us examples of how you've used them in real projects. We love seeing practical applications of your skills, so make it clear how you’ve built and maintained data solutions.
Be Clear and Concise: When writing your application, keep it clear and to the point. Use straightforward language to explain your experience and how it relates to the role. Remember, we want to understand your journey without getting lost in jargon!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!
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 past projects where you've built data pipelines or AI solutions. The more specific examples you can provide, the better!
✨Understand the Business Impact
It's crucial to connect your technical skills to real-world applications. Think about how your work as a Data & AI Engineer can drive business outcomes. Be prepared to explain how your previous projects have made a difference.
✨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 did. This will show that you can bridge the gap between tech and business.
✨Showcase Your Problem-Solving Skills
Be ready to tackle hypothetical scenarios during the interview. Think through your approach to solving data-related challenges, and don’t hesitate to share your thought process. This will highlight your analytical abilities and creativity.