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 Crawley 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 Crawley
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, 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 architectures. This gives potential employers a taste of what you can bring to their team.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with Redshift, AWS DMS, and data modelling techniques. We want to see how you can influence strategy and lead cross-functional teams!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Data Engineer – DBT, AWS (native), AWS DMS, ETL, Warehouse Architecture, Redshift, IaC (Terraform) in Crawley
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Senior Data Engineer. Highlight your experience with AWS, DBT, and data modelling. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for data engineering and how you can contribute to shaping our data platform. Let us know why you're excited about this opportunity at StudySmarter.
Showcase Your Projects:If you've worked on relevant projects, don’t hold back! Include links or descriptions of your work with ETL processes, Redshift, or any cloud-native solutions. We love seeing real-world applications of your skills.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Smart Sourcer
✨Know Your Tech Stack Inside Out
Make sure you’re well-versed in the AWS data stack, especially DBT, Redshift, and AWS DMS. Brush up on your ETL processes and warehouse architecture knowledge. Be ready to discuss how you've applied 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
This role requires a collaborative spirit, so be prepared to talk about how you've mentored others or worked cross-functionally. Share instances where your leadership influenced project outcomes, especially in shaping BI strategies.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in their data platform and future direction. Inquire about their current challenges with data governance or how they envision evolving their DataOps practices. This shows you're not just interested in the role but also in contributing to their success.
