At a Glance
- Tasks: Design and maintain data pipelines and AI solutions for impactful projects.
- Company: Jefferson Frank, a leading tech firm in Belfast with a collaborative spirit.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Work closely with analysts and engineers in a fast-paced environment.
- Why this job: Join a dynamic team and make a real difference with data-driven solutions.
- Qualifications: Proven Data Engineering experience, strong Python and SQL skills required.
The predicted salary is between 40000 - 55000 £ per year.
Jefferson Frank in Belfast is seeking a Data & AI Engineer to design and maintain data pipelines and AI solutions. The role involves working with analysts and engineers to deliver scalable, data-driven solutions essential for business operations.
Candidates should have proven experience in Data Engineering, strong Python and SQL skills, and familiarity with cloud data platforms. This hybrid position allows for working closely with various stakeholders while contributing to impactful data initiatives.
Data & AI Engineer — Hybrid (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 (Belfast)
✨Tip Number 1
Network like a pro! Reach out to current Data & AI Engineers on LinkedIn or at local meetups. We can learn so much from their experiences and maybe even get a foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and AI projects. We want to see what you can do, so make it easy for potential employers to be impressed.
✨Tip Number 3
Prepare for those interviews! Brush up on your Python and SQL skills, and be ready to discuss how you've tackled real-world data challenges. We need to demonstrate our problem-solving abilities.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. We’re all about making connections, so let’s get your profile in front of the right people.
We think you need these skills to ace Data & AI Engineer — Hybrid (Belfast)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in Data Engineering, Python, and SQL. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the Data & AI Engineer position and how you can contribute to our data-driven solutions. Keep it engaging and personal!
Showcase Your Cloud Knowledge: Since familiarity with cloud data platforms is key, make sure to mention any relevant experience you have. Whether it's AWS, Azure, or Google Cloud, we want to know how you've used these tools in your past work.
Apply Through Our Website: We encourage you to apply directly 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 from us!
How to prepare for a job interview at Jefferson Frank
✨Know Your Data Inside Out
Make sure you brush up on your data engineering skills, especially in Python and SQL. Be ready to discuss specific projects where you've designed or maintained data pipelines, as well as any AI solutions you've implemented. This will show that you have the hands-on experience they're looking for.
✨Familiarise Yourself with Cloud Platforms
Since the role involves working with cloud data platforms, do some research on the specific platforms the company uses. If you have experience with AWS, Azure, or Google Cloud, be prepared to share how you've leveraged these tools in your previous roles.
✨Collaboration is Key
This position requires working closely with analysts and engineers, so be ready to talk about your teamwork experiences. Think of examples where you've collaborated on data-driven solutions and how you communicated effectively with different stakeholders.
✨Prepare for Technical Questions
Expect technical questions that test your problem-solving skills in real-time. Practice coding challenges or SQL queries beforehand, and be ready to explain your thought process. This will demonstrate your analytical skills and ability to think on your feet.