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

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

Posted 1 day ago by Jobserve

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£550 Per day
Outside
Hybrid
London
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Amazon Athena Amazon Web Services (AWS) Artificial Intelligence Continuous Integration and Continuous Delivery Data Governance Data Vault Modeling DMS Software Reengineering Toolkits Extract Transform Load (ETL) Github Infrastructure as Code (IaC) Life Cycle Planning Software as a Service (SaaS) Strategic Decision-Making Terraform Workflows

Summary: The Senior Data Engineer role involves shaping the future of a global SaaS platform's data capabilities, focusing on modern analytics and AI engineering. This hands-on position requires expertise in AWS data technologies and architecture, with responsibilities spanning the full data lifecycle. The ideal candidate will lead the development of a cloud-native data platform and mentor other engineers while ensuring data governance and compliance. This role is pivotal in building a reliable data ecosystem that supports strategic decision-making across the business.

Key Responsibilities:

  • 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 Skills:

  • 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.

Salary (Rate): £550 per day

City: London

Country: United Kingdom

Working Arrangements: hybrid

IR35 Status: outside IR35

Seniority Level: Senior

Industry: IT

Detailed Description From Employer:

Senior Data Engineer - DBT, AWS (native), AWS DMS, ETL, Warehouse Architecture, Redshift, IaC (Terraform) - OUTSIDE IR35

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 life cycle 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.

£525 - £550 per day OUTSIDE IR35. London & 90% remote. 6 months.

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