At a Glance
- Tasks: Manage and optimise the Enterprise Data Platform stack for 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 a 40% staff discount, access to health schemes, and extra leave on your birthday!
Lead Data Platform Engineer: Databricks/Azure in London employer: New Look
New Look is an excellent employer, offering a vibrant work culture in the heart of London or the scenic surroundings of Weymouth. With a strong focus on employee growth, we provide opportunities for professional development alongside attractive benefits such as a generous 40% staff discount, health schemes, and additional leave on your birthday, making it a rewarding place to advance your career in data engineering.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Platform Engineer: Databricks/Azure in London
✨Tip Number 1
Network like a pro! Reach out to folks in the data engineering space, especially those who work with Databricks and Azure. A friendly chat can open doors and give you insights that might just land you that interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with Databricks, Python, and SQL. Having tangible examples of your work can really impress potential employers and set you apart from the crowd.
✨Tip Number 3
Prepare for the technical interview! Brush up on your knowledge of Azure Data Factory and be ready to discuss how you've optimised data platforms in the past. We want to see your problem-solving skills in action!
✨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 Lead Data Platform Engineer: Databricks/Azure in London
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 our candidates!
Showcase Your Projects:If you've worked on any cool projects involving Python, SQL, or Azure Data Factory, make sure to mention them. We’re keen to see real-world applications of your skills, so don’t hold back!
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 talk about best practices in data security. Discuss any relevant experiences where you ensured data integrity and compliance.
✨Ask Insightful Questions
Prepare thoughtful questions about New Look's data operations and future projects. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
