AWS Data Platform Engineer (Ref: 197468)

Forsyth Barnes; United States; Hybrid; USD 148,930 - 223,395; Full time

Benefits offered by this job

Competitive day rate

Professional development budget

Hybrid pattern based in Nottingham

Impactful logistics projects

Job summary

Forsyth Barnes on behalf of our client is seeking an experienced engineer to design, deliver and operate an AWS data platform underpinning analytics, machine learning and operational reporting.

This 12-month fixed-term contract places ownership of IaC, deployment pipelines and platform tooling to ensure secure, reliable data flows from ingestion through to serving layers. Hybrid working with Nottingham preference and FinOps cost optimisation focus.

Qualifications

• Proven experience designing and operating data platforms on cloud.
• Strong AWS infrastructure and IaC implementation skills.
• Experience with lakehouse concepts and data serving architectures.
• Security, governance and FinOps mindset.

Responsibilities

• Design, build and operate scalable AWS infrastructure for data workloads.
• Develop and maintain CI/CD pipelines for platform deployments.
• Implement lakehouse and serving layer patterns for analytics and ML.
• Apply security, governance and cost controls across the platform.
• Monitor health and optimise performance and costs.

Skills

Platform engineering

Cloud engineering

DevOps for data platforms

SQL

Scripting

Tools

Terraform

CDK

Job description

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 are encouraged to apply.