At a Glance
- Tasks: Manage and optimise our Enterprise Data Platform for peak performance and security.
- Company: Join New Look, a leading fashion retailer with a vibrant culture.
- Benefits: Enjoy a 40% staff discount, health schemes, and extra leave on your birthday!
- Other info: Dynamic work environment with opportunities for personal and professional growth.
- Why this job: Be at the forefront of data engineering with tools like Databricks and Azure.
- Qualifications: Strong background in data engineering, Python, SQL, and Azure Data Factory required.
The predicted salary is between 60000 - 80000 £ per year.
New Look is hiring a Senior Associate Data Operations Engineer in London or Weymouth to manage and optimize their Enterprise Data Platform stack, ensuring performance and security. The role requires a strong background in data engineering, including tools like Databricks and Azure.
Key responsibilities include:
- Overseeing platform operations
- Implementing security measures
- Providing technical support
Candidates should possess expertise in:
- Databricks
- Python
- SQL
- Azure Data Factory
Benefits include:
- 40% staff discount
- Access to health schemes
- Extra leave on your birthday
Lead Data Platform Engineer: Databricks/Azure employer: New Look
New Look is an excellent employer, offering a vibrant work culture in the heart of London or the scenic Weymouth, where innovation meets collaboration. Employees enjoy a generous 40% staff discount, comprehensive health schemes, and unique perks like additional leave on their birthday, all while having ample opportunities for professional growth in a dynamic data-driven environment.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Platform Engineer: Databricks/Azure
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those who work with Databricks and Azure. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! If you’ve got projects or experiences with Python, SQL, or Azure Data Factory, be ready to discuss them in detail. Real-world examples can really impress.
✨Tip Number 3
Prepare for technical questions! Brush up on your data engineering knowledge and be ready to tackle some hands-on challenges. We want to see how you think on your feet!
✨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 take that extra step.
We think you need these skills to ace Lead Data Platform Engineer: Databricks/Azure
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Databricks, Azure, and any relevant data engineering tools. We want to see how your skills align with the role, so don’t be shy about showcasing your expertise!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about data operations and how you can contribute to our team. Keep it engaging and personal – we love getting to know you!
Showcase Your Projects:If you've worked on any cool projects involving data platforms or engineering, make sure to mention them! We’re interested in seeing real-world applications of your skills, so share those experiences that demonstrate your capabilities.
Apply Through Our Website:We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any updates from us!
How to prepare for a job interview at New Look
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of Databricks, Azure, Python, SQL, and Azure Data Factory. Be ready to discuss how you've used these tools in past projects and be prepared to solve technical problems on the spot.
✨Showcase Your Problem-Solving Skills
During the interview, highlight specific challenges you've faced in data engineering and how you overcame them. This will demonstrate your ability to manage and optimise data platforms effectively.
✨Understand Security Measures
Since the role involves implementing security measures, be prepared to discuss best practices in data security. Familiarise yourself with common vulnerabilities and how to mitigate them, as this will show your commitment to maintaining a secure data environment.
✨Ask Insightful Questions
Prepare thoughtful questions about New Look's data operations and future projects. This not only shows your interest in the role but also gives you a chance to assess if the company aligns with your career goals.
