Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and maintain data pipelines while delivering analytics and AI solutions.
- Company: Nigel Frank, a leading tech recruiter in Greater Manchester.
- Benefits: Salary up to £51,000, hybrid work, and structured career development.
- Other info: Great opportunity for career growth in the exciting field of AI.
- Why this job: Join impactful projects and enhance your skills in a dynamic environment.
- Qualifications: Experience in data engineering, strong Python and SQL skills, and cloud platform familiarity.
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 in Manchester 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 in Manchester
✨Tip Number 1
Network like a pro! Reach out to professionals in the Data & AI field on LinkedIn or at local meetups. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving data pipelines and AI solutions. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to Python, SQL, and cloud platforms. We recommend practicing with friends or using mock interview platforms to build your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive roles listed that you won’t find anywhere else.
We think you need these skills to ace Data & AI Engineer — Scalable Pipelines & Generative AI in Manchester
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 in Greater Manchester!
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, prepare examples of how you've successfully collaborated in the past. Think about times when you delivered analytics or AI solutions and how you communicated with others to achieve those goals.
✨Familiarise Yourself with Cloud Platforms
Get comfortable discussing cloud data platforms, as they are likely to come up in conversation. If you have experience with specific platforms, be ready to share how you've used them to enhance your data engineering projects.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare 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.