At a Glance
- Tasks: Architect and deliver a cloud-native data platform while leading innovative data strategies.
- Company: Rapidly modernising SaaS platform with a focus on AI engineering.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Join a dynamic team with a strong focus on engineering excellence.
- Why this job: Shape the future of data and influence key business decisions.
- Qualifications: Experience in AWS, ETL processes, and data modelling required.
The predicted salary is between 70000 - 90000 £ 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, modern analytics stack, and the way data powers decisions across the business. This is a hands-on, architecture-shaping, strategy-influencing role for someone who thrives at the intersection of engineering excellence, data modelling, platform design and cross-functional leadership.
You will own the full data lifecycle from ingestion to modelling to consumption, and play a pivotal role in building a reliable, governed, cloud-native data ecosystem.
What you will be doing:
- Architect and deliver a cloud-native data platform across ingestion, modelling, warehousing and BI
- Lead adoption of DBT, ELT patterns, AWS DMS, Redshift, Athena, Iceberg
- Build high-quality...
Senior Data Engineer DBT, AWS native, AWS DMS, ETL, Redshift, IaC employer: Smart Sourcer
As a Senior Data Engineer at our rapidly modernising SaaS platform, you'll be part of a dynamic team that values innovation and collaboration. We offer a supportive work culture that encourages professional growth through continuous learning and development opportunities, alongside competitive benefits. Located in a vibrant tech hub, our company provides a unique chance to influence the future of data engineering while enjoying a balanced work-life environment.
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 your industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can get you in the door.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects with DBT, AWS, and ETL processes. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss your experience with data platforms and architecture. We recommend practising common interview questions and even doing mock interviews with friends.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, applying directly can sometimes give you an edge over other candidates.
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 AWS, DBT, and ETL processes. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you’re the perfect fit for this role. Share your passion for data engineering and how you envision shaping our data platform. Keep it engaging and personal!
Showcase Your Technical Skills:We’re looking for someone who’s hands-on with tools like Redshift and Terraform. Be specific about your technical expertise and any relevant certifications. This is your moment to shine!
Apply Through Our Website:To make sure your application gets the attention it deserves, apply directly through our website. It’s the best way for us to keep track of your application and get back to you quickly!
How to prepare for a job interview at Smart Sourcer
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like DBT, AWS DMS, and Redshift. Brush up on your knowledge of ETL processes and Infrastructure as Code (IaC) using Terraform. Being able to discuss these tools 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. Think about scenarios where you had to architect a data solution or improve an existing process. This will demonstrate your hands-on experience and ability to influence strategy.
✨Understand the Business Impact
Be ready to explain how your work as a Data Engineer can drive business decisions and support AI initiatives. Research the company’s goals and think about how a robust data platform can enhance their operations. This shows that you’re not just focused on the tech but also on how it fits into the bigger picture.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about their data strategy, team dynamics, and future projects. This not only shows your interest in the role but also helps you gauge if the company is the right fit for you.
