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- Tasks: Build and maintain data pipelines processing billions of events daily.
- Company: Join Dixons Carphone, a leader in tech recycling and innovation.
- Benefits: Enjoy hybrid working and contribute to impactful AI solutions.
- Other info: Be part of a team driving significant tech advancements.
- Why this job: Work with advanced technologies like Databricks and cloud platforms.
- Qualifications: Degree in Computer Science and strong data engineering experience.
The predicted salary is between 50000 - 65000 £ per year.
Dixons Carphone is seeking a Data Engineer to join our team in Greater London. This role involves building and maintaining data pipelines that process billions of events daily and developing AI-powered solutions using advanced technologies like Databricks and cloud platforms such as Azure or GCP.
The ideal candidate will have:
- A degree in Computer Science
- Strong experience in data engineering
- A keen interest in AI solutions
Enjoy hybrid working and contribute to impactful tech recycling initiatives.
Data Engineer (Hybrid) — AI Pipelines & Cloud in London employer: Dixons Carphone
Contact Detail:
Dixons Carphone Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer (Hybrid) — AI Pipelines & Cloud in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Dixons Carphone on LinkedIn. A friendly chat can give us insider info and maybe even a referral, which can really boost our chances.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a GitHub repository showcasing your data engineering projects. This is a great way to demonstrate our hands-on experience with tools like Databricks and cloud platforms.
✨Tip Number 3
Ace the interview! Research common data engineering interview questions and practice our answers. We want to highlight our problem-solving skills and passion for AI solutions during the chat.
✨Tip Number 4
Apply through our website! It’s the best way to ensure our application gets seen by the right people. Plus, we can tailor our application to match what Dixons Carphone is looking for in a Data Engineer.
We think you need these skills to ace Data Engineer (Hybrid) — AI Pipelines & Cloud in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience in data engineering and any relevant projects you've worked on. We want to see how you’ve tackled challenges and what technologies you’ve used, especially with Databricks and cloud platforms like Azure or GCP.
Tailor Your Application: Don’t just send a generic CV and cover letter! Customise your application to reflect the job description. Mention your keen interest in AI solutions and how you can contribute to our tech recycling initiatives. It shows us you’re genuinely interested!
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that are easy to read. Use bullet points where necessary to make your skills and experiences stand out.
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 our team. Plus, it’s super easy!
How to prepare for a job interview at Dixons Carphone
✨Know Your Tech Stack
Make sure you’re familiar with the technologies mentioned in the job description, like Databricks and cloud platforms such as Azure or GCP. Brush up on your knowledge of data pipelines and AI solutions, as you might be asked to discuss how you’ve used these tools in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in data engineering and how you overcame them. Use the STAR method (Situation, Task, Action, Result) to structure your answers, highlighting your analytical skills and ability to develop innovative solutions.
✨Demonstrate Your Passion for AI
Since the role involves developing AI-powered solutions, express your enthusiasm for AI technologies. Share any relevant projects or experiences that showcase your interest and understanding of AI, and be ready to discuss current trends in the field.
✨Ask Insightful Questions
Prepare thoughtful questions about the team’s current projects, the company’s approach to tech recycling initiatives, and how they envision the future of AI in their operations. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.