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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, competitive salary, and career growth opportunities.
- Other info: Be part of a dynamic team focused on impactful tech solutions.
- Why this job: Work with advanced AI technologies and make a real impact.
- Qualifications: Degree in Computer Science and strong data engineering experience.
The predicted salary is between 50000 - 70000 £ 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, and a keen interest in AI solutions. Enjoy hybrid working and contribute to impactful tech recycling initiatives.
Data Engineer (Hybrid) — AI Pipelines & Cloud 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
✨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 might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a mini-project or a portfolio showcasing your data engineering prowess, especially with tools like Databricks and cloud platforms. This will make you stand out during interviews.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions for data engineers. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step to connect directly with us.
We think you need these skills to ace Data Engineer (Hybrid) — AI Pipelines & Cloud
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. Take the time to tailor your application to our 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 information that’s 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 through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us. 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 examples that highlight your analytical thinking and ability to develop innovative solutions, especially in relation to processing large volumes of data.
✨Understand the Company’s Mission
Dixons Carphone is involved in tech recycling initiatives, so it’s a good idea to research their sustainability efforts. Showing that you understand and care about their mission can set you apart from other candidates and demonstrate your alignment with their values.
✨Ask Insightful Questions
Prepare thoughtful questions to ask at the end of your interview. Inquire about the team dynamics, the specific AI projects they are working on, or how they measure success in their data engineering efforts. This shows your genuine interest in the role and helps you assess if it's the right fit for you.