Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and deliver high-quality data solutions using Snowflake and ETL techniques.
- Company: Leading insurance broker in England with a focus on innovation.
- Benefits: Competitive salary up to £90,000 and hybrid working model.
- Why this job: Join a dynamic team and shape the future of data engineering.
- Qualifications: Hands-on experience with Snowflake, DBT, SQL, and ETL pipelining.
- Other info: Exciting opportunity for growth in a modern data office.
The predicted salary is between 80000 - 90000 £ per year.
A leading insurance broker in England is seeking a Senior Data Engineer to design and deliver high-quality data solutions within their new data office. The position is hybrid, requiring 2 days in the office, and offers a salary up to £90,000 depending on experience.
Ideal candidates will have hands-on experience with Snowflake, along with expertise in DBT, SQL, and ETL pipelining. This role offers an exciting opportunity for those passionate about modern data engineering practices.
Hybrid Senior Data Engineer - Snowflake & ETL Expert in London employer: DVF Recruitment
Contact Detail:
DVF Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid Senior Data Engineer - Snowflake & ETL Expert in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Snowflake or ETL. 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 projects with DBT, SQL, and ETL pipelining. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering scenarios. Think about how you would tackle real-world problems using Snowflake and other tools. We want you to feel confident and ready to impress!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Hybrid Senior Data Engineer - Snowflake & ETL Expert in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Snowflake, DBT, SQL, and ETL pipelining. We want to see how your skills match the job description, 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 data engineering and how you can contribute to our new data office. Keep it engaging and personal – we love to see your personality!
Showcase Your Projects: If you've worked on any cool data projects, make sure to mention them! Whether it's a personal project or something from a previous job, we want to know what you've done and how it relates to the role.
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 us!
How to prepare for a job interview at DVF Recruitment
✨Know Your Tech Inside Out
Make sure you brush up on your Snowflake, DBT, SQL, and ETL pipelining skills. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your Problem-Solving Skills
Prepare to tackle some technical questions or case studies during the interview. Think about how you can demonstrate your analytical thinking and problem-solving abilities, especially in data engineering scenarios.
✨Understand the Company’s Data Needs
Research the insurance broker's business model and how they utilise data. This will help you tailor your answers to show how your skills can directly benefit their operations and contribute to their new data office.
✨Ask Insightful Questions
Prepare a few 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.