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- Tasks: Design data architecture and lead migration to Snowflake cloud solutions.
- Company: Talenting Career Science, a forward-thinking tech company based in London.
- Benefits: Up to £85,000 salary, flexible remote work, and comprehensive benefits.
- Other info: Mentorship opportunities and collaboration with diverse stakeholders.
- Why this job: Join a dynamic team and shape the future of data engineering.
- Qualifications: Experience in data engineering with Snowflake and strong Python or SQL skills.
The predicted salary is between 85000 - 85000 £ per year.
Talenting Career Science is looking for a Lead Data Engineer based in London or UK Remote, offering up to £85,000 plus benefits. This role focuses on migrating data systems to a Snowflake cloud-based solution.
Responsibilities include:
- Designing data architecture
- Mentoring a team
- Collaborating with various stakeholders
Ideal candidates should have solid experience in data engineering, especially with Snowflake, and strong programming skills in Python or SQL. Full flexibility for remote work or office-based options is provided.
Lead Data Engineer - Snowflake Cloud ELT (Remote) employer: Talenting Career Science
Contact Detail:
Talenting Career Science Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer - Snowflake Cloud ELT (Remote)
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who have experience 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, especially those involving Snowflake and Python or SQL. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and Snowflake specifics. We recommend doing mock interviews with friends or using online platforms to build your confidence.
✨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 Engineer - Snowflake Cloud ELT (Remote)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Snowflake and data engineering. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how you can contribute to our team. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Technical Skills: Since this role requires strong programming skills in Python or SQL, make sure to mention specific projects where you’ve used these languages. We’re keen to see how you’ve tackled challenges and what solutions you’ve implemented.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Talenting Career Science
✨Know Your Snowflake Inside Out
Make sure you brush up on your Snowflake knowledge before the interview. Understand its architecture, features, and how it compares to other data solutions. Be ready to discuss your past experiences with Snowflake and how you've successfully migrated data systems.
✨Show Off Your Programming Skills
Since strong programming skills in Python or SQL are crucial for this role, prepare to showcase your expertise. You might be asked to solve a coding problem or explain your thought process behind a project. Practise common data engineering challenges to feel confident.
✨Prepare for Team Dynamics
As a Lead Data Engineer, mentoring a team is part of the gig. Think about your leadership style and be ready to share examples of how you've guided others in the past. Highlight your collaboration skills and how you've worked with different stakeholders to achieve project goals.
✨Ask Insightful Questions
Interviews are a two-way street, so come prepared with questions that show your interest in the company and the role. Ask about their current data projects, team structure, or how they measure success in this position. This not only shows your enthusiasm but also helps you gauge if it's the right fit for you.