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- Tasks: Design and maintain data pipelines while delivering cutting-edge analytics and AI solutions.
- Company: Join a forward-thinking company in Greater Manchester with a hybrid work model.
- Benefits: Earn up to £51,000 with structured career development and impactful projects.
- Other info: Collaborative environment with opportunities for professional growth.
- Why this job: Be at the forefront of AI innovation and make a real difference in data solutions.
- Qualifications: Strong programming skills in Python and SQL, plus experience with cloud data platforms.
The predicted salary is between 51000 - 51000 £ per year.
Nigel Frank in Greater Manchester is seeking a Data & AI Engineer for a hybrid role. You will design and maintain data pipelines, collaborate with teams to deliver production-ready analytics and AI solutions.
Ideal candidates have proven experience in a similar role, strong programming skills in Python and SQL, and familiarity with cloud data platforms.
The position offers exposure to impactful projects and structured career development opportunities, with a salary of up to £51,000.
Data & AI Engineer — Scalable Pipelines & Generative AI employer: Nigel Frank
Contact Detail:
Nigel Frank Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data & AI Engineer — Scalable Pipelines & Generative AI
✨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 discuss your experience with cloud data platforms. Practice common interview questions to boost your confidence.
✨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 & Generative AI
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data pipelines and AI solutions. 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 your passion for data and AI, and mention any specific projects or experiences that align with what we’re looking for.
Showcase Your Collaboration Skills: Since this role involves working with various teams, it’s important to highlight your teamwork abilities. Give examples of how you’ve successfully collaborated on projects in the past, especially in delivering analytics solutions.
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 this exciting opportunity. Don’t miss out!
How to prepare for a job interview at Nigel 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 challenges you faced and how you overcame them.
✨Showcase Your Collaboration Skills
Since this role involves working with various teams, think of examples where you've successfully collaborated on projects. Highlight your communication skills and how you contributed to delivering analytics and AI solutions.
✨Familiarise Yourself with Cloud Platforms
If you have experience with cloud data platforms, be prepared to talk about it! Research the specific platforms the company uses and be ready to discuss how you've leveraged them in past roles.
✨Prepare Questions That Matter
Interviews are a two-way street, so come armed with thoughtful questions about the company's projects and career development opportunities. This shows your genuine interest in the role and helps you assess if it's the right fit for you.