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- Tasks: Build and deploy data solutions while mentoring junior engineers.
- Company: Join a global insurance leader known for innovation and employee satisfaction.
- Benefits: Enjoy a £10,000 bonus, flexible hybrid work, and generous leave.
- Why this job: Work with cutting-edge tech in a supportive team culture.
- Qualifications: 3+ years in data engineering with Snowflake and AWS experience required.
- Other info: Interviews are ongoing, so apply now to secure your spot!
The predicted salary is between 60000 - 84000 £ per year.
Company Overview: My client is a global leader in the insurance industry, serving millions of customers worldwide. With strong financial foundations established over decades, their commitment to utilising innovative solutions and cutting-edge technologies is a key pillar of their recent success. They are also dedicated to ensuring the well-being and happiness of their employees through very flexible hybrid working patterns, as well as other amazing benefits, and a great company culture - over 4 out of 5 employees would recommend working here.
Role Overview: As a Senior Data Engineer you will be responsible for building and deploying full solutions from scratch, while maintaining security and data best practices. Duties will include product-based work as well as migration tasks. Due to your seniority you will also be tasked with mentoring junior engineers. You will be joining a close-knit team of 6 Data Engineers, as well as 30 Engineers in the business's data arm.
Requirements:
- 3+ Years data engineering experience
- Snowflake experience
- Proficiency across an AWS tech stack
- DevOps experience building and deploying using Terraform
Nice to Have:
- DBT
- Data Modelling
- Data Vault
- Apache Airflow
Benefits:
- Up to 10% Bonus
- Up to 14% Pensions Contribution
- 29 Days Annual Leave + Bank Holidays
- Free Company Shares
Interviews ongoing don't miss your chance to secure a role working with cutting edge technology while maintaining exceptional work-life balance.
Senior Data Engineer - Snowflake - £100,000 - London - Hybrid employer: Jefferson Frank
Contact Detail:
Jefferson Frank Recruiting Team
j.shaw-bollands@tenthrevolution.com
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer - Snowflake - £100,000 - London - Hybrid
✨Tip Number 1
Network with professionals in the data engineering field, especially those who have experience with Snowflake and AWS. Attend industry meetups or webinars to connect with potential colleagues and learn more about the company culture.
✨Tip Number 2
Showcase your hands-on experience with Snowflake and Terraform in conversations. Be prepared to discuss specific projects where you've implemented these technologies, as this will demonstrate your practical knowledge and problem-solving skills.
✨Tip Number 3
Research the company's recent projects and innovations in the insurance sector. Being knowledgeable about their work will help you engage in meaningful discussions during interviews and show your genuine interest in the role.
✨Tip Number 4
Prepare to discuss your mentoring experience with junior engineers. Highlight how you've supported their growth and development, as this aligns with the responsibilities of the Senior Data Engineer position.
We think you need these skills to ace Senior Data Engineer - Snowflake - £100,000 - London - Hybrid
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in data engineering, particularly with Snowflake and AWS. Use specific examples to demonstrate your skills in building and deploying solutions, as well as any mentoring experience you have.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention how your background aligns with their needs, especially your experience with DevOps and Terraform. Show that you understand their commitment to innovation and employee well-being.
Showcase Technical Skills: Clearly list your technical skills relevant to the job description, such as proficiency in SQL, Python, and any experience with tools like DBT or Apache Airflow. This will help the hiring team quickly see your fit for the role.
Proofread Your Application: Before submitting, carefully proofread your application for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial in a data engineering role.
How to prepare for a job interview at Jefferson Frank
✨Showcase Your Snowflake Expertise
Make sure to highlight your experience with Snowflake during the interview. Be prepared to discuss specific projects where you've implemented Snowflake solutions, focusing on the challenges you faced and how you overcame them.
✨Demonstrate Your AWS Knowledge
Since proficiency across an AWS tech stack is a requirement, brush up on your AWS skills. Be ready to explain how you've used various AWS services in your previous roles, particularly in relation to data engineering.
✨Prepare for Technical Questions
Expect technical questions related to data engineering, DevOps practices, and Terraform. Practise explaining your thought process and problem-solving approach, as this will showcase your expertise and ability to mentor junior engineers.
✨Emphasise Team Collaboration
As you'll be joining a close-knit team, it's important to convey your ability to work well with others. Share examples of how you've collaborated with teams in the past, especially in mentoring roles or when working on complex projects.
