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- Tasks: Design and maintain scalable data pipelines for a leading insurance company.
- Company: Progressive insurance company in Greater London with a focus on innovation.
- Benefits: Bonus, pension contributions, generous leave policies, and hybrid working model.
- Why this job: Join a dynamic team and enhance your skills in cloud data infrastructure.
- Qualifications: Advanced SQL skills and experience with ETL tools required.
- Other info: Great opportunity for career growth in a supportive environment.
The predicted salary is between 48000 - 72000 £ per year.
A progressive insurance company in Greater London is seeking a Staff Data Engineer to design and maintain data pipelines. The ideal candidate will possess advanced SQL skills, experience with ETL tools, and a strong knowledge of cloud data infrastructure.
Key responsibilities include:
- Building scalable data infrastructure
- Improving data quality
The role offers a hybrid working model and numerous benefits including a bonus, pension contributions, and generous leave policies.
Staff Data Engineer — Hybrid London: Scalable Data Pipelines employer: Tempcover
Contact Detail:
Tempcover Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff Data Engineer — Hybrid London: Scalable Data Pipelines
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and projects. This is a great way to demonstrate your advanced SQL skills and experience with ETL tools to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on cloud data infrastructure. Be ready to discuss how you've built scalable data solutions in the past. Practice common interview questions and have your own questions ready to show your interest.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, you'll be one step closer to landing that Staff Data Engineer position with us!
We think you need these skills to ace Staff Data Engineer — Hybrid London: Scalable Data Pipelines
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your advanced SQL skills and experience with ETL tools. We want to see how your background aligns with the role of a Staff Data Engineer, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about building scalable data infrastructure and how you can improve data quality. Let us know what excites you about this opportunity!
Showcase Your Cloud Knowledge: Since cloud data infrastructure is key for this role, make sure to mention any relevant experience you have. Whether it's AWS, Azure, or Google Cloud, we want to know how you've used these platforms in your previous roles.
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 Tempcover
✨Know Your SQL Inside Out
Make sure you brush up on your SQL skills before the interview. Be prepared to discuss complex queries and how you've used SQL in past projects. Practising with real-world scenarios can help you articulate your experience effectively.
✨Familiarise Yourself with ETL Tools
Since the role involves working with ETL tools, it’s crucial to have a solid understanding of them. Research the specific tools the company uses and be ready to share your experiences with similar technologies. Highlight any projects where you’ve successfully implemented ETL processes.
✨Understand Cloud Data Infrastructure
Get a good grasp of cloud data infrastructure concepts, especially if you know which platforms the company uses. Be prepared to discuss how you’ve built or maintained data pipelines in the cloud, and any challenges you faced along the way.
✨Showcase Your Problem-Solving Skills
During the interview, be ready to demonstrate your problem-solving abilities. Think of examples where you improved data quality or optimised data pipelines. Use the STAR method (Situation, Task, Action, Result) to structure your answers clearly.
