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 opportunities.
- Why this job: Make an impact on data-driven projects while working with cutting-edge technology.
- Qualifications: Proven experience in data engineering, strong Python and SQL skills required.
The predicted salary is between 50000 - 60000 β¬ 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 β Enterprise Pipelines & Gen AI (Hybrid) in Newcastle upon Tyne 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 Adviceπ€«
We think this is how you could land Data & AI Engineer β Enterprise Pipelines & Gen AI (Hybrid) in Newcastle upon Tyne
β¨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can refer you directly.
β¨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and AI projects. This gives potential employers a taste of what you can do and sets you apart from the crowd.
β¨Tip Number 3
Prepare for those interviews! Brush up on your Python and SQL skills, and be ready to discuss your past projects. Practice explaining complex concepts in simple terms β itβs all about communication!
β¨Tip Number 4
Donβt forget to apply through our website! Weβve got loads of opportunities that might just be the perfect fit for you. Plus, itβs a great way to get noticed by our hiring team.
We think you need these skills to ace Data & AI Engineer β Enterprise Pipelines & Gen AI (Hybrid) in Newcastle upon Tyne
Some tips for your application π«‘
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 donβt hold back on showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why youβre the perfect fit for this role. Share your passion for data engineering and how youβve tackled similar challenges in the past. Keep it engaging and personal!
Showcase Your Communication Skills:Since we value effective communication, include examples of how you've explained technical concepts to non-technical audiences. This will help us see your ability to collaborate within our engineering culture.
Apply Through Our Website:We encourage you to apply directly through our website. Itβs the best way for us to receive your application and ensures youβre considered for this exciting opportunity in Newcastle or Manchester!
How to prepare for a job interview at Jefferson Frank
β¨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 modern data and AI technologies you've used.
β¨Showcase Your Communication Skills
Since the role requires effective communication of technical concepts, practice explaining complex ideas in simple terms. You might be asked to describe a project to someone without a technical background, so keep it clear and concise.
β¨Familiarise Yourself with the Company Culture
Research Jefferson Frank's collaborative engineering culture. Think about how your work style aligns with their values and be prepared to share examples of how you've thrived in team settings or contributed to impactful projects.
β¨Prepare Questions That Matter
Have a few thoughtful questions ready for your interviewers. Ask about the types of data-driven projects theyβre currently working on or how they leverage AI technologies. This shows your genuine interest in the role and helps you assess if it's the right fit for you.