At a Glance
- Tasks: Design and maintain data pipelines using modern data and AI technologies.
- Company: Join a collaborative engineering culture at Jefferson Frank.
- Benefits: Enjoy hybrid work, competitive salary, and opportunities for professional growth.
- Other info: Work in vibrant Newcastle or Manchester with excellent career advancement potential.
- Why this job: Make an impact on data-driven projects while working with cutting-edge technology.
- Qualifications: Experience in data engineering, strong Python and SQL skills required.
The predicted salary is between 50000 - 70000 € per year.
Jefferson Frank is seeking a Data & AI Engineer to work in Newcastle or Manchester in a hybrid capacity. The role involves designing, building, and maintaining data pipelines while leveraging modern data and AI technologies.
The ideal candidate will have proven experience in similar roles, strong programming skills in Python and SQL, and the ability to communicate technical concepts effectively.
Join a collaborative engineering culture and work on impactful data-driven projects.
Data & AI Engineer — Enterprise Pipelines & Gen AI (Hybrid) employer: Jefferson Frank
At Jefferson Frank, we pride ourselves on being an excellent employer, offering a dynamic work environment in Newcastle or Manchester where innovation thrives. Our collaborative engineering culture fosters professional growth through continuous learning opportunities and impactful projects that leverage cutting-edge data and AI technologies. With a strong emphasis on work-life balance and employee well-being, we ensure that our team members feel valued and empowered to make a difference.
StudySmarter Expert Advice🤫
We think this is how you could land Data & AI Engineer — Enterprise Pipelines & Gen AI (Hybrid)
✨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 help you land that Data & AI Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and AI projects. We want to see your Python and SQL prowess in action, so don’t be shy about sharing your work during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your problem-solving skills. We recommend practicing coding challenges and explaining your thought process clearly, as communication is key in this role.
✨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 and eager to join our collaborative engineering culture.
We think you need these skills to ace Data & AI Engineer — Enterprise Pipelines & Gen AI (Hybrid)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with data pipelines and AI technologies. We want to see how your skills in Python and SQL shine through, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you’re the perfect fit for this role. Share specific examples of your past work and how it aligns with our collaborative engineering culture. Let your personality come through!
Showcase Your Communication Skills:Since the role involves communicating technical concepts, make sure your application reflects your ability to explain complex ideas clearly. Use straightforward language and avoid jargon where possible.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to do!
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 designed or maintained data pipelines, as well as any AI technologies you've worked with. This will show that you’re not just familiar with the tools, but that you can apply them effectively.
✨Communicate Clearly
Since the role requires explaining technical concepts, practice articulating your thoughts clearly. Try explaining a complex project to a friend who isn’t in tech. This will help you convey your ideas simply and effectively during the interview.
✨Show Your Collaborative Spirit
The job mentions a collaborative engineering culture, so be prepared to share examples of how you've worked in teams. Highlight your ability to collaborate on projects, resolve conflicts, and contribute to a positive team environment.
✨Research the Company and Role
Take some time to understand Jefferson Frank’s mission and values. Familiarise yourself with their recent projects or initiatives in data and AI. This knowledge will not only help you tailor your answers but also demonstrate your genuine interest in the role and the company.
