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- Tasks: Build and deploy data solutions while mentoring junior engineers in a collaborative team.
- Company: Join a leading global insurance firm known for innovation and employee well-being.
- Benefits: Enjoy a £100,000 salary, up to 10% bonus, flexible hybrid work, and generous leave.
- Why this job: Work with cutting-edge technology in a supportive culture that values work-life balance.
- Qualifications: 3+ years of data engineering experience, Snowflake expertise, and AWS proficiency 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: 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 - £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 by working on personal projects or contributing to open-source initiatives. This practical experience can set you apart during interviews and demonstrate your commitment to the role.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of data modelling and ETL processes. Be ready to discuss how you've implemented these concepts in previous roles, particularly in a cloud environment.
✨Tip Number 4
Familiarise yourself with the company's values and recent projects. Tailor your discussions during interviews to reflect how your skills and experiences align with their goals, especially regarding innovative solutions in the insurance industry.
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.
Highlight Key Skills: When filling out your application, ensure you emphasise your proficiency in the required technologies such as SQL, Python, and Apache Airflow. If you have experience with DBT or Data Vault, make sure to include that as well.
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 Tenth Revolution Group
✨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, ETL processes, and DevOps practices. Review key concepts and be ready to solve problems on the spot, as this will demonstrate your hands-on experience and problem-solving abilities.
✨Emphasise Mentorship Experience
As a senior role, you'll be expected to mentor junior engineers. Share examples of how you've successfully guided others in the past, highlighting your leadership style and how you foster a collaborative team environment.
