At a Glance
- Tasks: Design and maintain data pipelines and AI solutions while collaborating with teams.
- Company: Join a forward-thinking company in Newcastle upon Tyne.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Great opportunity to communicate technical concepts and grow your career.
- Why this job: Be at the forefront of data and AI innovation, making a real impact.
- Qualifications: Strong programming skills in Python and SQL, plus experience in data roles.
The predicted salary is between 45000 - 55000 € per year.
Jefferson Frank is seeking a Data & AI Engineer for a hybrid role in Newcastle upon Tyne. You'll focus on designing and maintaining data pipelines, analytics platforms, and AI solutions, collaborating closely with teams to deliver robust, production-ready outcomes.
The ideal candidate should possess:
- Strong programming skills in Python and SQL
- Proven experience in data roles
- A solid ability to communicate technical concepts to non-technical stakeholders
Data & AI Engineer: Scalable Pipelines & GenAI employer: Jefferson Frank
At Jefferson Frank, we pride ourselves on being an excellent employer, offering a dynamic work culture that fosters collaboration and innovation in the heart of Newcastle upon Tyne. Our commitment to employee growth is reflected in our continuous training opportunities and support for professional development, ensuring that our Data & AI Engineers thrive in their roles while contributing to impactful projects in the ever-evolving tech landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Data & AI Engineer: Scalable Pipelines & GenAI
✨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.
✨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.
✨Tip Number 3
Prepare for those interviews! Brush up on your Python and SQL skills, and be ready to explain your past projects. Practice common interview questions so you can communicate your technical expertise clearly.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace Data & AI Engineer: Scalable Pipelines & GenAI
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your programming skills in Python and SQL, as well as any relevant experience in data roles. We want to see how your background aligns with the Data & AI Engineer position, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about data pipelines and AI solutions. We love seeing candidates who can communicate technical concepts clearly, especially to non-technical folks, so make that a focus!
Showcase Your Projects:If you've worked on any cool projects related to data or AI, be sure to mention them! We’re interested in seeing real-world applications of your skills, so include links or descriptions of your work that demonstrate your expertise.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and we’ll be able to review your application more efficiently. Plus, it shows us you’re serious about joining our team!
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 data pipelines or AI solutions, as this will show your hands-on experience and technical prowess.
✨Communicate Like a Pro
Since you'll need to explain complex concepts to non-technical stakeholders, practice simplifying your explanations. Think of examples from your past work where you successfully communicated technical details in an easy-to-understand way.
✨Showcase Your Collaboration Skills
This role involves working closely with teams, so be prepared to share experiences where teamwork was key to your success. Highlight how you contributed to group projects and how you handled any challenges that arose.
✨Prepare Questions That Matter
Have a few thoughtful questions ready about the company's data strategy or the tools they use. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
