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- Tasks: Build scalable data solutions and enhance customer experiences through seamless data flow.
- Company: Major technology retailer in Greater London with a focus on innovation.
- Benefits: Hybrid working, competitive salary, and opportunities for professional growth.
- Why this job: Join a dynamic team and make a real impact on data infrastructure.
- Qualifications: Strong skills in Python, SQL, and experience with cloud platforms.
- Other info: Exciting role with a chance to collaborate across various teams.
The predicted salary is between 36000 - 60000 £ per year.
A major technology retailer in Greater London is seeking a Data Engineer to support the development of data infrastructure and pipelines. The role involves building scalable data solutions and collaborating with various teams to ensure seamless data flow for enhanced customer experiences.
Candidates should have strong skills in Python and SQL, along with experience in cloud platforms. This full-time position offers hybrid working and opportunities for professional growth.
Hybrid Data Engineer: Scale Pipelines & DataOps employer: Currys PLC
Contact Detail:
Currys PLC Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid Data Engineer: Scale Pipelines & DataOps
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with current employees at the company. You never know who might give you a heads-up about job openings or even refer you directly!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving Python and SQL. This will not only demonstrate your expertise but also give you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding data pipelines. Practice common interview questions related to DataOps and cloud platforms to boost 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 love seeing candidates who are proactive about their job search!
We think you need these skills to ace Hybrid Data Engineer: Scale Pipelines & DataOps
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, SQL, and cloud platforms. We want to see how your skills align with the role of a Data Engineer, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how you can contribute to building scalable data solutions. Let us know what makes you a great fit for our team!
Showcase Collaboration Skills: Since this role involves working with various teams, highlight any past experiences where you’ve successfully collaborated on projects. We love seeing candidates who can work well with others to enhance customer experiences!
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 regarding your application status!
How to prepare for a job interview at Currys PLC
✨Know Your Tech Stack
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've used these technologies, as well as any cloud platforms you've worked with. This will show that you’re not just familiar with the tools but can also apply them effectively.
✨Understand Data Pipelines
Familiarise yourself with the concept of data pipelines and DataOps. Be prepared to explain how you would build scalable data solutions and ensure seamless data flow. Think of examples from your past experience where you’ve successfully implemented these processes.
✨Collaboration is Key
Since this role involves working with various teams, be ready to talk about your collaboration skills. Share examples of how you’ve worked with cross-functional teams in the past to enhance customer experiences through data-driven decisions.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company’s data infrastructure and future projects. This shows your genuine interest in the role and helps you gauge if the company aligns with your career goals. Plus, it gives you a chance to demonstrate your knowledge about the industry.
