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 innovative data solutions.
- Benefits: Competitive salary, flexible remote work, and opportunities for professional growth.
- Other info: Join a dynamic team with a focus on modern analytics and AI-driven workflows.
- Why this job: Shape the future of data engineering and influence strategic decisions across the business.
- Qualifications: Deep experience with AWS data stack and strong leadership skills in data ecosystems.
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 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 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, Redshift, IaC in City of London employer: Smart Sourcer Limited
As a Senior Data Engineer at our rapidly modernising SaaS platform, you'll be part of a dynamic team that values innovation and excellence in data engineering. With a strong focus on employee growth, we offer mentorship opportunities and a collaborative work culture that encourages you to shape the future of our data capabilities while enjoying the flexibility of 90% remote work from London. Join us to make a meaningful impact in a supportive environment that prioritises your professional development and well-being.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer DBT, AWS native, AWS DMS, ETL, Redshift, IaC in City of London
✨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 will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with AWS DMS, Redshift, and data modelling. Practice common interview questions to boost your confidence!
✨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, Redshift, IaC in City of London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Senior Data Engineer role. Highlight your expertise in AWS, DBT, and data modelling to show us you’re the perfect fit!
Craft a Compelling Cover Letter:Use your cover letter to tell us why you’re excited about this role and how you can contribute to our data platform. Share specific examples of your past work that align with our needs.
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 to give us a taste of your capabilities.
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!
How to prepare for a job interview at Smart Sourcer Limited
✨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 cloud-native architecture. Be ready to discuss how you've used 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 high-reliability ingestion pipelines and modernising DataOps. This will demonstrate your hands-on expertise and strategic thinking.
✨Emphasise Collaboration and Leadership
Since this role involves mentoring and cross-functional leadership, be prepared to talk about your collaborative experiences. Share instances where you’ve partnered with product teams or mentored other engineers, showcasing your pragmatic leadership style.
✨Understand the Business Impact of Data
Familiarise yourself with how data drives decisions in a SaaS environment. Be ready to discuss how you can shape BI strategy and ensure trusted metrics across the business. This shows that you understand the bigger picture and are aligned with the company’s goals.
