At a Glance
- Tasks: Architect and deliver a cloud-native data platform while leading the adoption of modern data practices.
- Company: Join a rapidly modernising SaaS platform shaping the future of data engineering.
- Benefits: Competitive salary, flexible remote work, and opportunities for professional growth.
- Other info: Dynamic role with a focus on innovation and collaboration in a supportive environment.
- Why this job: Make a real impact on data-driven decisions and mentor the next generation of engineers.
- Qualifications: Deep experience with AWS data stack and proven ability in cloud-native platform design.
The predicted salary is between 95000 - 100000 £ 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’re 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’ll 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’ll 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 models (Kimball, Data Vault, OBT) and set the standards for testing, documentation and governance
- Shape BI strategy and ensure consistent, trusted metrics across the business
- Mentor engineers and partner with Principal Engineers, Product and Analytics to deliver high‑value data products
- Evolve the AWS‑native platform: Redshift, Athena, S3 lake patterns, Iceberg
- Modernize DataOps: CI/CD for dbt and infra, automated testing, GitHub Actions
- Build high‑reliability ingestion pipelines with strong SLAs and schema‑change resilience
- Retire legacy pipelines and uplift performance, cost and governance
- Ensure strong security, compliance and data governance across the platform
Key requirements:
- Deep experience across the modern AWS data stack
- Proven ability to design and scale cloud‑native data platforms
- Mastery of modelling, ELT, warehouse architecture and BI tooling
- A collaborative, pragmatic leadership style with a passion for high‑quality data ecosystems.
£95k - £100k. London & 90% remote. 12-month Fixed Term Contract.
Senior Data Engineer – DBT, AWS (native), AWS DMS, ETL, Warehouse Architecture, Redshift, IaC (Terraform) in Stevenage employer: Smart Sourcer
Join a forward-thinking SaaS platform that is at the forefront of data innovation, where your expertise as a Senior Data Engineer will directly influence the architecture and strategy of our cloud-native data ecosystem. With a strong emphasis on collaboration, mentorship, and professional growth, you'll thrive in a dynamic work culture that values engineering excellence and empowers you to shape the future of data-driven decision-making. Enjoy the flexibility of a 90% remote working arrangement while being part of a global team dedicated to modernising analytics and AI capabilities.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer – DBT, AWS (native), AWS DMS, ETL, Warehouse Architecture, Redshift, IaC (Terraform) in Stevenage
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering space, especially those who work with AWS and DBT. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving ETL processes and cloud-native platforms. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with Redshift, data modelling, and how you've tackled challenges in previous roles. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Senior Data Engineer – DBT, AWS (native), AWS DMS, ETL, Warehouse Architecture, Redshift, IaC (Terraform) in Stevenage
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Senior Data Engineer role. Highlight your expertise in AWS, DBT, and data modelling to show us you’re the perfect fit for our team.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you’re excited about this role and how your background makes you a great candidate. Share specific examples of your past work that demonstrate your ability to shape data platforms and lead teams.
Showcase Your Projects:If you’ve worked on relevant projects, don’t hesitate to include them! We love seeing real-world applications of your skills, especially those involving AWS DMS, Redshift, and ETL processes.
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 rapidly modernising SaaS platform.
How to prepare for a job interview at Smart Sourcer
✨Know Your Tech Inside Out
Make sure you’re well-versed in the AWS data stack, especially DBT, Redshift, and ETL processes. Brush up on your knowledge of cloud-native architecture and be ready to discuss how you've implemented these technologies in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of challenges you've faced in data engineering and how you overcame them. Highlight your experience with building ingestion pipelines and ensuring data governance, as this will resonate with their needs.
✨Demonstrate Leadership and Collaboration
Since this role involves mentoring and cross-functional collaboration, think of instances where you’ve led a team or worked closely with product and analytics teams. Be ready to discuss your leadership style and how you foster a collaborative environment.
✨Ask Insightful Questions
Prepare thoughtful questions about their data strategy and how they envision the evolution of their data platform. This shows your genuine interest in the role and helps you assess if the company aligns with your career goals.
