At a Glance
- Tasks: Design and maintain data pipelines and AI solutions for business needs.
- Company: Join a dynamic team at Jefferson Frank, based in Newcastle or Manchester.
- Benefits: Career development opportunities in a collaborative environment.
- Other info: Must be eligible for UK Security Check clearance.
- Why this job: Make an impact by building scalable AI solutions and data pipelines.
- Qualifications: Experience in data engineering, Python, SQL, and cloud technologies required.
The predicted salary is between 45000 - 55000 € per year.
Jefferson Frank is looking for a Data & AI Engineer to join their team, based in either Newcastle or Manchester. In this hybrid role, you will design and maintain data pipelines and AI solutions to support business needs.
The ideal candidate has proven experience in data engineering, strong skills in Python and SQL, and a grasp of cloud data technologies. Successful applicants must be eligible for UK Security Check clearance.
This position offers opportunities for career development in a collaborative environment.
Hybrid Data & AI Engineer — Build Scalable Pipelines & AI employer: Jefferson Frank
At Jefferson Frank, we pride ourselves on being an excellent employer, offering a dynamic work culture that fosters collaboration and innovation. Our hybrid Data & AI Engineer role not only provides competitive benefits and opportunities for professional growth but also allows you to work in vibrant cities like Newcastle or Manchester, known for their thriving tech communities. Join us to be part of a forward-thinking team where your contributions will make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land Hybrid Data & AI Engineer — Build Scalable Pipelines & AI
✨Tip Number 1
Network like a pro! Reach out to current employees at Jefferson Frank on LinkedIn or other platforms. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data pipelines and AI projects. We want to see what you can do, so make sure it’s easy to access and highlights your best work.
✨Tip Number 3
Ace the interview! Research common interview questions for Data & AI Engineers and practice your answers. We should also be ready to discuss how our experience aligns with the role's requirements.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive job listings that you won’t find anywhere else.
We think you need these skills to ace Hybrid Data & AI Engineer — Build Scalable Pipelines & AI
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 team. Keep it engaging and personal – we love to see your personality!
Showcase Your Cloud Knowledge:Since cloud data technologies are key for this role, make sure to mention any relevant experience you have. Whether it's AWS, Azure, or Google Cloud, let us know how you've used these tools to build scalable solutions.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the easiest way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Jefferson Frank
✨Know Your Tech Stack
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've used these technologies, as well as any cloud data solutions you've implemented. This will show that you not only understand the tools but can also apply them effectively.
✨Showcase Your Problem-Solving Skills
Prepare to talk about challenges you've faced in previous roles, especially related to data pipelines or AI solutions. Use the STAR method (Situation, Task, Action, Result) to structure your answers, highlighting how you approached problems and what the outcomes were.
✨Understand the Company’s Needs
Research Jefferson Frank and their business model. Understand how they utilise data and AI in their operations. Tailor your responses to demonstrate how your skills can directly support their goals, showing that you're not just a fit for the role, but also for the company culture.
✨Prepare Questions to Ask
Interviews are a two-way street! Prepare insightful questions about the team dynamics, career development opportunities, and the specific challenges they face in data engineering. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
