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- Tasks: Lead the migration of data systems to a Snowflake cloud solution and mentor your team.
- Company: Talenting Career Science, a forward-thinking company based in London.
- Benefits: Earn up to £85,000 with flexible remote work options and great benefits.
- Other info: Enjoy full flexibility for remote work or office-based options.
- Why this job: Join a dynamic team and shape the future of data engineering with cutting-edge technology.
- Qualifications: Experience in data engineering, especially 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) in London 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) in London
✨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. Practising with a friend or using mock interview platforms can help you feel more confident and ready to impress.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Lead Data Engineer - Snowflake Cloud ELT (Remote) in London
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. We love seeing personality, so let your enthusiasm 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 in the past!
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 differs from 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 previous project. Practise common coding challenges related to data engineering to feel confident.
✨Prepare for Team Dynamics
As a Lead Data Engineer, mentoring and collaborating with a team is key. Think of examples where you've successfully led a team or mentored others. Be ready to discuss your leadership style and how you handle conflicts or challenges within a team setting.
✨Understand the Business Side
This role involves collaborating with various stakeholders, so it's important to understand the business context of your work. Research Talenting Career Science and think about how data engineering can drive their goals. Prepare questions that show your interest in how data impacts their business decisions.