At a Glance
- Tasks: Shape the future of data platforms using AWS, ETL, and Redshift.
- Company: Rapidly modernising SaaS platform with a global reach.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic environment focused on cutting-edge technology and career advancement.
- Why this job: Join a team driving innovation in AI engineering and data capabilities.
- Qualifications: Experience with AWS, DBT, and data engineering best practices.
The predicted salary is between 60000 - 80000 £ per year.
Reporting to the Head of Data for this global, rapidly modernising SaaS platform, this business is scaling its data capabilities to support native AI engineering and agentic workflows. We are looking for a Senior AWS Data Engineer who wants to shape the future of their data platform.
Senior Data Engineer DBT, AWS native, AWS DMS, ETL, Redshift, IaC employer: Smart Sourcer Limited
As a Senior Data Engineer at our rapidly modernising SaaS platform, you will be part of a dynamic team that values innovation and collaboration. We offer a supportive work culture that prioritises employee growth through continuous learning opportunities and exposure to cutting-edge technologies. Located in a vibrant tech hub, our company provides unique advantages such as flexible working arrangements and a commitment to work-life balance, making it an excellent employer for those seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer DBT, AWS native, AWS DMS, ETL, Redshift, IaC
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that Senior Data Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with DBT, AWS, and ETL processes. We want to see how you’ve tackled real-world problems, so don’t hold back!
✨Tip Number 3
Prepare for those technical interviews! Brush up on your knowledge of Redshift and IaC with Terraform. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨Tip Number 4
Apply through our website! We’re always on the lookout for talented individuals like you. By applying directly, you’ll ensure your application gets the attention it deserves, and we can’t wait to see what you bring to the table!
We think you need these skills to ace Senior Data Engineer DBT, AWS native, AWS DMS, ETL, Redshift, IaC
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with DBT, AWS, and ETL processes. We want to see how your skills align with our needs, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you’re excited about the role and how you can contribute to shaping our data platform. Keep it engaging and personal – we love a good story!
Showcase Your Technical Skills:Don’t forget to mention your expertise in Redshift and Infrastructure as Code (IaC) using Terraform. We’re keen on seeing how you’ve used these tools in past roles to drive results.
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 to join our team!
How to prepare for a job interview at Smart Sourcer Limited
✨Know Your Tech Stack
Make sure you’re well-versed in DBT, AWS services, and ETL processes. Brush up on your knowledge of Redshift and Infrastructure as Code (IaC) using Terraform. Being able to discuss these technologies confidently will show that you’re ready to hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles and how you overcame them. Use examples that highlight your experience with data architecture and modernising data platforms, especially in a SaaS environment. This will demonstrate your ability to contribute to their scaling efforts.
✨Understand Their Business Goals
Research the company’s mission and how they are leveraging data for AI engineering and agentic workflows. Tailor your responses to show how your skills can help them achieve their objectives. This shows genuine interest and alignment with their vision.
✨Ask Insightful Questions
Prepare thoughtful questions about their data strategy, team dynamics, and future projects. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you. Engaging in a two-way conversation can leave a lasting impression.
