At a Glance
- Tasks: Design and build data pipelines while developing AI solutions.
- Company: Jefferson Frank, a leading tech recruitment firm in Newcastle.
- Benefits: Hybrid work model, exposure to diverse projects, and career development opportunities.
- Why this job: Join a dynamic team and make an impact with cutting-edge data and AI technologies.
- Qualifications: Strong coding skills in Python and SQL, plus problem-solving abilities.
The predicted salary is between 40000 - 55000 € per year.
Jefferson Frank in Newcastle upon Tyne is seeking a Data & AI Engineer to design, build, and maintain data pipelines and AI capabilities. The role involves working in a hybrid model, integrating data from various sources and developing machine learning solutions.
Qualified candidates will have strong coding skills in Python and SQL, experience with data platforms, and problem-solving abilities. The position offers exposure to diverse projects across different industries and opportunities for career development.
Data & AI Engineer: Hybrid, UK SC Eligible employer: Jefferson Frank
At Jefferson Frank, we pride ourselves on being an excellent employer, offering a dynamic work culture that fosters innovation and collaboration. Our Newcastle upon Tyne location provides a unique opportunity to engage with diverse projects across various industries, while our commitment to employee growth ensures that you will have access to continuous learning and development opportunities. Join us to be part of a forward-thinking team where your contributions are valued and rewarded.
StudySmarter Expert Advice🤫
We think this is how you could land Data & AI Engineer: Hybrid, UK SC Eligible
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. 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 is your chance to demonstrate your coding prowess in Python and SQL, and it’ll make you stand out to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions and problem-solving scenarios. Practice explaining your thought process clearly, as this will highlight your analytical skills and ability to tackle challenges.
✨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, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Data & AI Engineer: Hybrid, UK SC Eligible
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your coding skills in Python and SQL, as well as any experience with data platforms. We want to see how your background aligns with the role of a Data & AI Engineer!
Showcase Your Projects:Include examples of projects where you've designed or maintained data pipelines or developed machine learning solutions. This will help us understand your hands-on experience and problem-solving abilities.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're excited about this role and how you can contribute to our team. Be genuine and let your personality shine through – we love to see enthusiasm!
Apply Through Our Website:For the best chance of success, make sure to apply directly through our website. It’s the easiest way for us to keep track of your application and get back to you quickly!
How to prepare for a job interview at Jefferson Frank
✨Know Your Tech Stack
Make sure you’re well-versed in Python and SQL, as these are crucial for the role. Brush up on your coding skills and be ready to discuss specific projects where you've used these technologies.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex data challenges in the past. Think about the methods you used and the outcomes achieved, as this will demonstrate your analytical thinking and creativity.
✨Understand Data Integration
Familiarise yourself with different data sources and platforms. Be prepared to discuss how you would approach integrating data from various systems, as this is a key part of the job.
✨Ask Insightful Questions
At the end of the interview, don’t hesitate to ask questions about the projects you'll be working on or the team dynamics. This shows your genuine interest in the role and helps you gauge if it’s the right fit for you.
