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For Companies At a Glance
- Tasks: Design and deliver high-quality data solutions using modern engineering practices.
- Company: Leading Insurance Broker with a focus on innovation and reliability.
- Benefits: Competitive salary up to £90,000 and flexible working arrangements.
- Why this job: Join a newly formed data office and make a significant impact in the industry.
- Qualifications: Strong hands-on experience with Snowflake, DBT, SQL, and ETL pipelining.
- Other info: London-based role with opportunities for professional growth.
The predicted salary is between 54000 - 72000 £ per year.
I'm currently supporting a leading Insurance Broker looking to hire a Senior Data Engineer, to drive the design and delivery of high-quality, reliable data solutions across modern data engineering practices within their newly formed data office.
My client is looking for individuals with:
- Strong hands-on Snowflake experience.
- DBT (Data Build Tool), SQL, and ETL Pipelining experience.
This is a London based role (x2 days), paying up to £90,000 (dependant on experience).
Senior Data Engineer employer: DVF Recruitment
Contact Detail:
DVF Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work in insurance or have experience with Snowflake. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with DBT, SQL, and ETL pipelines. 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 your Snowflake expertise. Practising these scenarios can help us nail those tricky questions!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of resources to help you land that Senior Data Engineer role. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your hands-on experience with Snowflake, DBT, SQL, and ETL pipelining in your application. We want to see how your skills align with what we're looking for!
Tailor Your Application: Don’t just send a generic CV! Tailor your application to reflect the specific requirements of the Senior Data Engineer role. We love seeing how you can fit into our newly formed data office.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication, so make sure your experience shines through without unnecessary fluff.
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’re considered for this exciting opportunity!
How to prepare for a job interview at DVF Recruitment
✨Know Your Snowflake Inside Out
Make sure you brush up on your Snowflake skills before the interview. Be ready to discuss your hands-on experience, including any specific projects where you've implemented Snowflake solutions. Highlight how you’ve optimised performance or solved complex data challenges using this platform.
✨Show Off Your DBT and SQL Skills
Prepare to dive deep into your experience with DBT and SQL. Think of examples where you've used these tools to build efficient ETL pipelines. It’s a good idea to have a couple of success stories ready that showcase your problem-solving abilities and technical expertise.
✨Understand Modern Data Engineering Practices
Familiarise yourself with the latest trends and best practices in data engineering. Be prepared to discuss how you can apply these practices within the new data office. This shows that you’re not just technically skilled but also forward-thinking and adaptable.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company’s data strategy, team dynamics, and future projects. This not only demonstrates your interest in the role but also helps you gauge if the company is the right fit for you.