Senior Data Engineer - DBT, AWS native, AWS DMS, ETL, Redshift, IaC

Senior Data Engineer - DBT, AWS (native), AWS DMS, ETL, Warehouse Architecture, Redshift, IaC (Terraform)

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

·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.