At a Glance
- Tasks: Architect and deliver a cloud-native data platform while leading the adoption of modern data practices.
- Company: Rapidly modernising SaaS platform focused on AI engineering and innovative data solutions.
- Benefits: Competitive salary, flexible remote work, and opportunities for professional growth.
- Other info: Join a dynamic team with a collaborative culture and excellent career advancement potential.
- Why this job: Shape the future of data platforms and influence strategic decisions across the business.
- 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 Leicester 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 driving impactful change.
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 Leicester
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in the data engineering game. Building relationships can open doors that job applications alone can't.
✨Show Off Your Skills
Don’t just talk about your experience; demonstrate it! Create a portfolio showcasing your projects, especially those involving AWS, DBT, and ETL processes. This gives potential employers a taste of what you can bring to the table.
✨Ace the Interview
Prepare for technical interviews by brushing up on your knowledge of AWS services, data modelling, and BI tools. Practice common interview questions and be ready to discuss how you've tackled challenges in past projects. Confidence is key!
✨Apply Through Our Website
We’ve got some fantastic opportunities waiting for you! Make sure to apply through our website to get the best chance at landing that Senior Data Engineer role. We’re excited to see what you can bring to our team!
We think you need these skills to ace Senior Data Engineer – DBT, AWS (native), AWS DMS, ETL, Warehouse Architecture, Redshift, IaC (Terraform) in Leicester
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’re considered for the role. Plus, it’s super easy!
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 knowledge of ETL processes and warehouse architecture. Be ready to discuss how you've used these technologies in past projects and how they can be applied to shape the future of the company's data platform.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of challenges you've faced in data engineering and how you overcame them. This role is all about building reliable data ecosystems, so highlight your experience with high-reliability ingestion pipelines and schema-change resilience. Use the STAR method (Situation, Task, Action, Result) to structure your responses.
✨Demonstrate Leadership and Collaboration
Since this position involves mentoring engineers and collaborating with cross-functional teams, be ready to discuss your leadership style. Share instances where you’ve successfully led a team or project, and how you foster collaboration among different departments to deliver high-value data products.
✨Understand the Business Impact of Data
This role is pivotal for shaping BI strategy and ensuring trusted metrics across the business. Familiarise yourself with how data influences decision-making in a SaaS environment. Be prepared to discuss how you would approach building a cloud-native data platform that aligns with the company’s goals and enhances their AI capabilities.
