Senior AWS Data Platform Engineer
Role details
Job location
Tech stack
Job description
We're looking for a Senior Data Platform Engineer to join our team on a 12-month fixed term contract, to play a pivotal role in shaping and operating our next-generation data platform.
This is a fantastic opportunity to join our Microlise One Analytics & AI platform, where you'll help build a secure, scalable and governed data ecosystem that powers analytics, AI, and business-critical insights across the organisation.
You'll blend platform engineering, cloud DevOps, and data governance, ensuring our platform is not only high-performing, but also compliant, reliable, and cost-efficient.
Be part of a high-impact data and AI transformation programme, work on a modern, cloud-native platform with real business impact, influence how data, analytics and AI are delivered across the organisation, and collaborate with cross-functional engineering and data teams. What you'll be doing
- Designing, building and operating our AWS-based data platform using infrastructure as code
- Creating and managing CI/CD pipelines to enable safe, controlled deployments
- Supporting modern Lakehouse architecture, ingestion, processing and data serving layers
- Embedding security, governance and compliance controls across the platform
- Driving platform observability, monitoring, and performance optimisation
- Owning aspects of cost management (FinOps) and platform efficiency
- Collaborating with Data Engineers, Analytics & AI teams to deliver trusted data products
Requirements
- Strong experience in platform engineering, cloud engineering or DevOps within data-driven environments
- Hands-on expertise in AWS, infrastructure as code and CI/CD pipelines
- Experience building secure, scalable cloud environments
- A solid understanding of data platforms, pipelines or analytics ecosystems
- A mindset focused on reliability, observability and continuous improvement
Technical skills:
- AWS (compute, storage, IAM, networking)
- Terraform and/or AWS CDK
- CI/CD tooling and pipeline engineering
- Observability, monitoring and operational tooling
- SQL and strong systems thinking
Desirable skills:
- Lakehouse technologies (e.g. S3 / Iceberg)
- Experience in regulated or data-sensitive environments
- Multi-account or multi-tenant cloud architecture exposure