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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 up to £45k, hybrid work, and career development opportunities.
- Other info: Enjoy a supportive and inclusive engineering culture with growth potential.
- Why this job: Make a real difference with cutting-edge data and AI projects 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: Jefferson Frank
Contact Detail:
Jefferson Frank 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 can’t stress enough how personal connections can lead to job opportunities, so don’t be shy!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines, analytics projects, or any AI solutions you've built. 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 practising common interview questions. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
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 reflects the skills and experiences that match the Data & AI Engineer role. Highlight your programming skills in Python and SQL, and any relevant projects you've worked on that showcase your ability to build data pipelines and AI solutions.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data and AI. Share specific examples of how you've tackled challenges in previous roles and how you can contribute to our high-impact initiatives at StudySmarter.
Showcase Your Problem-Solving Skills: In your application, don’t just list your skills—demonstrate them! Include examples of how you've solved complex problems or optimised data performance in past projects. We love seeing your analytical thinking in action!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Jefferson Frank
✨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 built data pipelines or worked with AI solutions. Having concrete examples will show that you can walk the talk!
✨Understand the Business Impact
It's not just about the tech; understand how your work as a Data & AI Engineer can drive business outcomes. Be prepared to explain how your previous projects have added value and how you can do the same for them.
✨Communicate Clearly
You’ll need to explain complex technical concepts to non-technical stakeholders. Practice simplifying your explanations and think of analogies that make your points clear. This will demonstrate your ability to bridge the gap between tech and business.
✨Show Your Collaborative Spirit
This role involves working closely with analysts, engineers, and other stakeholders. Be ready to share examples of how you've successfully collaborated in the past. Highlight your teamwork skills and how you handle feedback and differing opinions.