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- Tasks: Design and implement cloud-based data platforms while mentoring fellow engineers.
- Company: Leading data consultancy in the UK with a focus on innovation.
- Benefits: Opportunities for personal and professional growth in a supportive team.
- Why this job: Join a dynamic team and make an impact in modern data practices.
- Qualifications: Strong background in Snowflake and modern data tools required.
- Other info: Collaborate with clients and stakeholders in a vibrant work environment.
The predicted salary is between 43200 - 72000 £ per year.
A leading data consultancy in the UK is seeking an experienced Senior Data Engineer focused on Snowflake and modern data practices. This role involves designing and implementing cloud-based data platforms, mentoring other engineers, and collaborating with clients and stakeholders.
Candidates should have a strong background in modern data tools and practices with a passion for consultancy. This position offers opportunities for personal and professional growth within a supportive team environment.
Senior Data Engineer — Snowflake & Data Platform Lead employer: LEIT DATA
Contact Detail:
LEIT DATA Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer — Snowflake & Data Platform Lead
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Snowflake. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects and experience with cloud-based data platforms. 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 consultancy skills. Be ready to discuss how you've collaborated with clients and stakeholders in the past, as this is key for the role.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our supportive team. Plus, it makes the application process smoother for everyone.
We think you need these skills to ace Senior Data Engineer — Snowflake & Data Platform Lead
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Snowflake and modern data practices. We want to see how your skills align with the role, 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 consultancy and how you can contribute to our team. Keep it engaging and personal – we love a good story!
Showcase Your Mentoring Skills: Since mentoring is part of the role, include examples of how you've supported other engineers in the past. We value collaboration, so let us know how you’ve helped others grow in their careers.
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 LEIT DATA
✨Know Your Snowflake Inside Out
Make sure you brush up on your Snowflake knowledge before the interview. Be ready to discuss your experience with cloud-based data platforms and how you've implemented them in past projects. Highlight specific examples where you've used Snowflake to solve complex data challenges.
✨Showcase Your Mentoring Skills
Since this role involves mentoring other engineers, think of instances where you've guided or trained team members. Prepare to share these experiences and explain how your mentorship has positively impacted their growth and the team's performance.
✨Understand the Consultancy Aspect
This position is not just about technical skills; it's also about consultancy. Familiarise yourself with the company's approach to client collaboration. Be prepared to discuss how you would engage with clients, understand their needs, and deliver tailored data solutions.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions that show your interest in the role and the company. Ask about their current data projects, team dynamics, or opportunities for professional development. This will demonstrate your enthusiasm and help you gauge if the company is the right fit for you.
