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- Tasks: Design and optimise data pipelines using Snowflake and dbt in a hands-on role.
- Company: Leading tech consultancy in the UK with a focus on innovation.
- Benefits: Fully remote work, competitive salary up to £85,000, and comprehensive benefits.
- Other info: Great opportunity for career growth in a supportive environment.
- Why this job: Join a dynamic team and make an impact in data engineering.
- Qualifications: 5+ years of data engineering experience with expertise in Snowflake and dbt.
The predicted salary is between 85000 - 85000 £ per year.
A leading tech consultancy in the UK is looking for a Senior Data Engineer to join their team. This is a hands-on role focused on designing and optimising data pipelines using Snowflake and dbt.
Candidates should have at least 5 years of experience in data engineering with significant expertise in Snowflake and dbt, alongside strong SQL and Python skills.
The position offers fully remote working, a competitive salary up to £85,000, and a comprehensive benefits package.
Senior Data Engineer: Snowflake & dbt Expert (Remote) in England employer: Tenth Revolution Group
Contact Detail:
Tenth Revolution Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer: Snowflake & dbt Expert (Remote) in England
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Snowflake and dbt. 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 best data pipelines and projects using Snowflake and dbt. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your SQL and Python skills. Practice common data engineering problems and be ready to discuss your past projects in detail. We want you to shine!
✨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 Senior Data Engineer: Snowflake & dbt Expert (Remote) in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Snowflake and dbt. We want to see how your skills align with the role, so don’t be shy about showcasing your SQL and Python expertise!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re passionate about data engineering and how your background makes you the perfect fit for our team. Keep it engaging and relevant!
Showcase Your Projects: If you've worked on any cool data projects, make sure to mention them! We love seeing real-world applications of your skills, especially if they involve optimising data pipelines or using Snowflake.
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 Tenth Revolution Group
✨Know Your Tech Inside Out
Make sure you brush up on your Snowflake and dbt knowledge. Be ready to discuss specific projects where you've used these tools, and think about how you optimised data pipelines in those scenarios. The more detailed your examples, the better!
✨Show Off Your SQL and Python Skills
Prepare to demonstrate your SQL and Python expertise during the interview. You might be asked to solve a problem or write a query on the spot, so practice common data engineering tasks beforehand. This will show that you're not just familiar with the languages but can use them effectively.
✨Understand the Company’s Needs
Research the consultancy's projects and clients. Understanding their business model and how they leverage data can help you tailor your answers to show how you can add value. It’s all about aligning your skills with their goals!
✨Ask Insightful Questions
Prepare some thoughtful questions to ask at the end of the interview. This could be about their data strategy, team dynamics, or future projects. It shows your genuine interest in the role and helps you assess if it’s the right fit for you.