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- Tasks: Design and build data pipelines and AI-driven solutions in a hybrid role.
- Company: Join a forward-thinking company in Belfast focused on data and AI.
- Benefits: Enjoy career development opportunities and a collaborative engineering culture.
- Why this job: Make an impact with high-stakes data and AI initiatives.
- Qualifications: Experience in data engineering and strong skills in Python and SQL.
The predicted salary is between 40000 - 55000 £ per year.
Jefferson Frank is seeking a Data & AI Engineer for a hybrid role based in Belfast. In this position, you'll design, build, and maintain data pipelines, analytics platforms, and AI-driven solutions.
Ideal candidates will have experience in data engineering, strong programming skills in Python and SQL, and a robust analytical mindset.
This role offers the chance to work on high-impact data and AI initiatives and grow in a cooperative engineering culture with access to career development opportunities.
Data & AI Engineer — Hybrid, Generative AI & Analytics 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 — Hybrid, Generative AI & Analytics in Belfast
✨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 land you that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and AI projects. We love seeing real examples of your work, so make sure to highlight your programming prowess in Python and SQL.
✨Tip Number 3
Prepare for those interviews! Brush up on common technical questions and be ready to discuss your analytical mindset. We want to see how you approach problem-solving, so practice articulating your thought process.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. We’re excited to see your enthusiasm for working on high-impact data and AI initiatives!
We think you need these skills to ace Data & AI Engineer — Hybrid, Generative AI & Analytics in Belfast
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering and programming skills, especially in Python and SQL. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects!
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 you can contribute to our team. Keep it engaging and personal – we love getting to know the real you!
Showcase Your Analytical Mindset: In your application, highlight specific examples where you've used your analytical skills to solve problems or drive results. We’re looking for candidates who can think critically and creatively, so let us see that side of you!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you get the best experience possible. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Jefferson Frank
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python and SQL. Brush up on your data engineering concepts and be ready to discuss how you've used these skills in past projects.
✨Showcase Your Analytical Mindset
Prepare examples that highlight your analytical thinking. Think of situations where you solved complex problems using data-driven decisions. This will demonstrate your fit for a role focused on analytics and AI-driven solutions.
✨Understand the Company Culture
Research Jefferson Frank and their approach to data and AI initiatives. Understanding their values and work culture will help you align your answers with what they’re looking for, showing that you’re not just a technical fit but also a cultural one.
✨Ask Insightful Questions
Prepare thoughtful questions about the role and the team dynamics. Inquire about the types of projects you might work on or how they support career development. This shows your genuine interest in the position and helps you assess if it’s the right fit for you.