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For Companies At a Glance
- Tasks: Lead the transition to Snowflake solutions and design scalable data systems in AWS.
- Company: A leading global insurer with a focus on innovation.
- Benefits: Flexible work environment, competitive salary, and opportunities for mentorship.
- Why this job: Make an impact by delivering effective data solutions in a dynamic team.
- Qualifications: Strong SQL skills, proven AWS experience, and mentoring abilities.
- Other info: Join a culture of innovation and enjoy excellent career growth opportunities.
The predicted salary is between 43200 - 72000 £ per year.
A leading global insurer is seeking a Data Engineer in London to lead the transition to Snowflake-based solutions and design scalable data systems in an AWS environment. The ideal candidate will have strong SQL skills, proven AWS experience, and the ability to mentor team members.
This role involves collaborating with stakeholders to deliver effective data solutions, contributing to a culture of innovation within a flexible work environment.
Senior Snowflake Data Engineer - AWS Data Warehousing Lead employer: Liberty Specialty Markets
Contact Detail:
Liberty Specialty Markets Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Snowflake Data Engineer - AWS Data Warehousing Lead
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Snowflake or AWS. A friendly chat can lead to insider info about job openings that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best SQL projects and any Snowflake solutions you've designed. This will give potential employers a taste of what you can bring to their team.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss how you’ve mentored others and contributed to innovative solutions in previous roles. We want to see your leadership potential!
✨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 and engaged in their job search.
We think you need these skills to ace Senior Snowflake Data Engineer - AWS Data Warehousing Lead
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your SQL skills and AWS experience. We want to see how your background aligns with the role of a Senior Snowflake 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 excited about leading the transition to Snowflake-based solutions and how you can contribute to our culture of innovation. Let us know what makes you tick!
Show Off Your Mentoring Skills: Since mentoring is key in this role, share examples of how you've supported team members in the past. We love seeing candidates who are not just tech-savvy but also great at fostering growth in others.
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 from our team!
How to prepare for a job interview at Liberty Specialty Markets
✨Know Your Snowflake Inside Out
Make sure you brush up on your Snowflake knowledge before the interview. Understand its architecture, features, and how it integrates with AWS. Be ready to discuss specific projects where you've implemented Snowflake solutions.
✨Show Off Your SQL Skills
Prepare to demonstrate your SQL prowess. You might be asked to solve problems or optimise queries on the spot. Practise common SQL scenarios and be ready to explain your thought process clearly.
✨Highlight Your Mentoring Experience
Since mentoring is a key part of this role, think of examples where you've guided team members or led training sessions. Share how you fostered a collaborative environment and helped others grow their skills.
✨Engage with Stakeholders
Be prepared to discuss how you've collaborated with stakeholders in previous roles. Think of specific instances where your communication skills made a difference in delivering data solutions. This shows you're not just a techie but also a team player.
