Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and build data pipelines using AWS tools like S3 and Snowflake.
- Company: Join a forward-thinking company transforming legacy systems in the insurance sector.
- Benefits: Enjoy hybrid work options and competitive pay outside IR35.
- Why this job: Be part of a crucial project that shapes the future of data architecture.
- Qualifications: 5+ years of AWS experience and proficiency in Snowflake required.
- Other info: Opportunity to lead technical projects and collaborate with business analysts.
The predicted salary is between 48000 - 72000 £ per year.
AWS Stack, data being landed in S3, Lambda triggers, Data Quality, data written back out to AWS S3 (Parquet Formats), Snowflake for dimensional model.
Design and build the data pipelines, work with someone around understanding data transformation, this is supported by BA's, building out the data pipelines, moving into layers in the data architecture (Medallion architecture).
Requirements
- 5 plus year's experience with AWS
- 5-8 years overall exposure to Data
- Technical Lead experience
- Proficient in Snowflake, S3, Lambda Triggers
- Hybrid London 1-2 days a week
The reason they're hiring now, they have a client that is all on a legacy system, on-prem platform, and they want to build out their AWS platform. They want to do a High-level architecture design to take to the low-level design. The client operates in the insurance domain (Commercial Finance).
Please send me a copy of your CV if you meet every requirement and are interested.
Senior AWS Data Engineer employer: Tenth Revolution Group
Contact Detail:
Tenth Revolution Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AWS Data Engineer
✨Tip Number 1
Familiarise yourself with the Medallion architecture, as it's a key aspect of the role. Understanding how to design and build data pipelines within this framework will give you a significant edge during discussions.
✨Tip Number 2
Brush up on your knowledge of AWS services, particularly S3 and Lambda. Being able to discuss specific use cases and your experience with these tools will demonstrate your hands-on expertise.
✨Tip Number 3
Since the role involves working closely with Business Analysts, be prepared to showcase your collaboration skills. Think of examples where you've successfully worked in a team to deliver data solutions.
✨Tip Number 4
Given the focus on transitioning from legacy systems, consider preparing insights on common challenges faced during such migrations. This will show your understanding of the complexities involved and your readiness to tackle them.
We think you need these skills to ace Senior AWS Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AWS, data engineering, and any relevant projects you've worked on. Emphasise your technical lead experience and proficiency in Snowflake, S3, and Lambda triggers.
Craft a Strong Cover Letter: Write a cover letter that specifically addresses the job description. Mention your 5+ years of experience with AWS and how you can contribute to building out the client's AWS platform from a legacy system.
Showcase Relevant Projects: Include examples of past projects where you've designed and built data pipelines or worked with data transformation. Highlight your understanding of the Medallion architecture and any experience in the insurance domain.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors. Ensure that all information is clear and concise, as attention to detail is crucial in this role.
How to prepare for a job interview at Tenth Revolution Group
✨Showcase Your AWS Expertise
Make sure to highlight your experience with AWS, especially with S3 and Lambda triggers. Be prepared to discuss specific projects where you've designed and built data pipelines using these technologies.
✨Demonstrate Data Transformation Knowledge
Since the role involves understanding data transformation, be ready to explain your approach to transforming data within a Medallion architecture. Use examples from your past work to illustrate your process.
✨Emphasise Leadership Experience
As a technical lead, it's crucial to convey your leadership skills. Share instances where you've guided teams or mentored colleagues, particularly in data engineering projects.
✨Prepare for Domain-Specific Questions
Given that the client operates in the insurance domain, brush up on industry-specific challenges and how AWS solutions can address them. This will show your understanding of the business context behind the technology.
