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- Tasks: Build and maintain high-performance data pipelines and develop AI-powered solutions.
- Company: Leading UK technology retailer with a focus on innovation.
- Benefits: Hybrid working, professional development opportunities, and competitive salary.
- Why this job: Join a dynamic team and shape the future of AI technology.
- Qualifications: Strong experience in data engineering and proficiency in Python.
- Other info: Collaborate with product managers and tech teams in a supportive environment.
The predicted salary is between 48000 - 72000 £ per year.
A leading UK technology retailer is seeking a Senior AI Engineer to build and maintain high-performance data pipelines and develop AI-powered solutions. This role involves collaborating with product managers and technology teams to ensure reliable data infrastructure and optimize data processing jobs.
The ideal candidate will have strong experience in data engineering, proficiency in Python, and familiarity with cloud technologies like Azure. This position offers hybrid working and opportunities for professional development.
Senior AI Engineer - Build Scalable AI & Data Pipelines (Hybrid) employer: Dixons Carphone
Contact Detail:
Dixons Carphone Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Engineer - Build Scalable AI & Data Pipelines (Hybrid)
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work with AI and data. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to 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 your technical knowledge. Be ready to discuss your experience with Python and cloud technologies like Azure. We want to see how you tackle real-world problems!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior AI Engineer - Build Scalable AI & Data Pipelines (Hybrid)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering and AI solutions. We want to see how your skills in Python and cloud technologies like Azure can shine through!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you're the perfect fit for this role. Share specific examples of your past projects and how they relate to building scalable data pipelines.
Showcase Collaboration Skills: Since this role involves working with product managers and tech teams, let us know about your teamwork experiences. We love candidates who can communicate effectively and work well with others!
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 don’t miss out on any important updates from us!
How to prepare for a job interview at Dixons Carphone
✨Know Your Tech Inside Out
Make sure you brush up on your data engineering skills, especially in Python and cloud technologies like Azure. Be ready to discuss specific projects where you've built or maintained data pipelines, as this will show your hands-on experience.
✨Collaborate Like a Pro
Since the role involves working with product managers and tech teams, prepare examples of how you've successfully collaborated in the past. Think about challenges you faced and how you overcame them while working with others.
✨Showcase Your Problem-Solving Skills
Be prepared to tackle some technical questions or case studies during the interview. Practice explaining your thought process clearly, as this will demonstrate your analytical skills and ability to optimise data processing jobs.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company and the role. Inquire about their current AI projects or how they envision the future of their data infrastructure. This shows you're genuinely interested and engaged.
