Senior Data Platform Engineer (Fixed Term Contract)
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