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AWS Data Platform Engineer (Ref: 197468)

Summary

Build and run an AWS-based data platform for freight/logistics analytics and ML, using IaC and CI/CD to ensure secure, cost-effective data flows from ingestion to serving.

About Us

Our client develops cloud-native software for freight, transport and logistics operators to optimise fleet utilisation, route planning and operational workflows. The organisation combines high-frequency operational telemetry with enterprise analytics to deliver decisioning, forecasting and automation capabilities that reduce cost per mile and improve on-time performance.

Job Description

This 12-month fixed-term contract focuses on designing, delivering and operating an AWS data platform that underpins analytics, machine learning and operational reporting. The role requires ownership of infrastructure-as-code, deployment pipelines and platform tooling to ensure secure, reliable, and cost-effective data flows from ingestion through to serving layers.

Key Responsibilities

  • Design, build and operate scalable AWS infrastructure for data workloads using IaC.
  • Develop and maintain CI/CD pipelines for platform and data product deployments.
  • Implement lakehouse and serving layer patterns to support analytics and ML workloads.
  • Apply security, governance and compliance controls across the platform.
  • Monitor platform health and lead performance tuning and incident response.
  • Manage platform costs and optimisation initiatives (FinOps).
  • Collaborate with data engineering and analytics teams to define platform APIs and operational playbooks.

Requirements

  • Proven experience in platform engineering, cloud engineering or DevOps for data platforms.
  • Extensive hands-on experience with AWS services and IaC tools such as Terraform or CDK.
  • Practical knowledge of CI/CD tooling and pipeline development.
  • Understanding of lakehouse concepts, data ingestion patterns and serving architectures.
  • Strong security, observability and operational excellence mindset.
  • Proficiency in SQL and scripting; systems thinking and troubleshooting skills.
  • Experience with multi-account AWS setups and FinOps is highly desirable.

Benefits

  • Competitive day rate aligned to experience for a 12-month fixed-term contract.
  • Professional development budget and access to technical training resources.
  • Flexible working pattern with a hybrid option based in Nottingham.
  • Opportunity to work on impactful projects affecting real-time logistics operations.

Other

This opportunity suits engineers who want to shape a mission-critical data platform that drives operational decisions in transport and logistics. Candidates with transferable experience in cloud platform engineering for data-intensive systems

Callum Bell

Divisional Manager, Technology

ETail Specialist

[email protected]

See also

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