Python Engineer

Montash Limited
UK
2 days ago
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Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

Amazon Web Services Amazon Elastic Compute Cloud Amazon S3 Automation of Tests Software Quality Extract Transform Load (ETL) Data Sharing Amazon DynamoDB Python (Programming Language) Data Streaming Systems Integration GitHub Copilot
+7 more
Boto3 AWS Lambda Pytest Cloudwatch Api Gateway Amazon Simple Queue Service (SQS) Serverless Computing

Job description

You will join a data and analytics unit within a UK public sector organisation, working on a live AWS serverless data platform. The focus is on delivering new features and keeping the platform stable, with plenty of ownership over production support and code quality., * Deliver new features and enhancements from analysis through implementation and support

  • Investigate, diagnose and resolve production issues across the platform and its integrations
  • Analyse existing code and implement maintainable, proportionate and low-risk changes
  • Build and support event-driven and serverless services on AWS
  • Deliver secure, scalable data sharing capabilities using AWS Batch and API Gateway
  • Expand and maintain automated test coverage using pytest, moto or similar tooling
  • Contribute to technical designs and agree pragmatic implementation approaches
  • Create and maintain technical documentation, operational procedures and support guidance

Requirements

  • Python development experience building and maintaining production services with boto3 and AWS SDKs
  • Hands-on and demonstrable use of AWS Lambda, EC2, S3, SQS, DynamoDB and CloudWatch
  • Experience with event-driven and serverless architectures
  • AWS Batch and API Gateway experience
  • Automated testing with pytest, moto or related tooling
  • Track record of troubleshooting production issues spanning multiple services and workflow stages
  • Ability to maintain clear technical and operational documentation

Nice to Have

  • Recent history of working with large-scale ETL pipeline platforms, including infrastructure, integrations and data flows
  • Experience supporting the application and infrastructure sides of a live service
  • Improving platform performance, maintainability and operational stability
  • GitHub Copilot and agentic workflows

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