AWS Platform Engineer

Maxwell Bond
Manchester, UK
2 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Compensation
£70,000.0
Working hours
Regular working hours

Tech stack

Agile Methodology Airflow Amazon Web Services Automation of Tests Big Data Cloud Computing Cloud Engineering Code Review Continuous Integration Data Infrastructure DevOps Identity and Access Management
+8 more
Python (Programming Language) Operational Databases Apache Spark Backend Cloudformation AWS Data Analytics Data Management Terraform

Job description

Greater Manchester (Hybrid - 2 days onsite)

Salary up to £70,000

We have partnered with a Manchester-based technology and market research company that is looking for a AWS Platform Engineer to join its growing team. Over the past decade since their inception, they have supported some of the world’s leading brands with data-driven intelligence to support growth. They’ve been scaling massively over the past 6 months and the rest of 2026 looks to continue this trend!

As a AWS Platform Engineer, you will be responsible for DevOps, backend, and cloud development across the company’s data infrastructure, building innovative solutions that scale effectively and support the ongoing development of the platform.

What you’ll do

  • Proactively identify opportunities to improve the data platform’s performance, architecture, and design, and take ownership of implementing those improvements.
  • Design, architect, and build internal platform tooling to support best-practice development and the delivery of data products.
  • Develop scalable, cloud-native solutions using AWS technologies.
  • Build and maintain backend services and infrastructure using Python.
  • Work with Apache Spark and Apache Airflow to develop and maintain data orchestration pipelines.
  • Implement infrastructure as code using Terraform and/or AWS CloudFormation.
  • Manage IAM configurations and contribute to cloud security best practices.
  • Collaborate closely with engineering, product, and operations teams to align on scope and deliverables.

Key requirements

  • 3+ years of professional Python engineering experience focused on AWS-based data platforms.
  • Strong experience in DevOps, cloud engineering, and supporting production data platforms.
  • Hands-on experience provisioning and managing Apache Airflow.
  • Experience with CI/CD pipelines, automated testing, and agile software development practices.
  • Comfortable working with large, complex datasets and solving challenging technical problems collaboratively.
  • Experience using AI-assisted development tools to enhance coding, code reviews, productivity, and documentation.

Benefits

  • Salary up to £70,000 + Annual Bonus
  • Hybrid and Flexible working (2 days onsite per week)
  • 25 days’ annual leave plus bank holidays
  • Life assurance + Workplace pension + Home office Budget + L&D Budget (certifications paid for by them)

If you are a passionate AWS Data Platform Engineer looking to develop your career in a collaborative environment, we’d love to hear from you. Apply today!

Requirements

  • 3+ years of professional Python engineering experience focused on AWS-based data platforms.
  • Strong experience in DevOps, cloud engineering, and supporting production data platforms.
  • Hands-on experience provisioning and managing Apache Airflow.
  • Experience with CI/CD pipelines, automated testing, and agile software development practices.
  • Comfortable working with large, complex datasets and solving challenging technical problems collaboratively.
  • Experience using AI-assisted development tools to enhance coding, code reviews, productivity, and documentation.

Benefits & conditions

  • Salary up to £70,000 + Annual Bonus
  • Hybrid and Flexible working (2 days onsite per week)
  • 25 days’ annual leave plus bank holidays
  • Life assurance + Workplace pension + Home office Budget + L&D Budget (certifications paid for by them)

Apply for this position

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