Software / Data Engineer (AWS & Python), (Remote, Part-Time) [IS007]

Company: Smart Working Solutions

Location: Remote (Remote)

Type: Full-time

Remote: Yes

Posted: 2026-05-07

About this role

About Smart Working
At Smart Working, we believe your job should not only look right on paper but also feel right every day. This isn’t just another remote opportunity - it’s about finding where you truly belong, no matter where you are. From day one, you’re welcomed into a genuine community that values your growth and well-being.

Our mission is simple: to break down geographic barriers and connect skilled professionals with outstanding global teams and products for full-time, long-term roles. We help you discover meaningful work with teams that invest in your success, where you’re empowered to grow personally and professionally.

Join one of the highest-rated workplaces on Glassdoor and experience what it means to thrive in a truly remote-first world.

About the Role
We are looking for a hands-on Software / Data Engineer to own and maintain a modern cloud-based data platform focused on EV repair cost intelligence and analytics.

You will work across backend engineering, AWS infrastructure, data pipelines, and analytics systems, helping maintain and evolve a platform used by insurers and automotive organisations to better understand EV repair risk and pricing.

This is a highly practical engineering role suited to someone who enjoys taking ownership of systems end-to-end, solving real operational problems, and improving reliability, scalability, and maintainability across a growing platform.

The environment is lean, collaborative, and fast-moving, with significant autonomy and responsibility from day one.

### Responsibilities

  • Own and maintain cloud-based data pipelines and backend systems across the AWS stack.
  • Run and support monthly ingestion and processing workflows using AWS services such as S3, Lambda, Glue, Athena, and Step Functions.
  • Maintain and improve the Python codebase, dependencies, and backend services.
  • Support and enhance the client-facing analytics dashboard and API delivery layer.
  • Perform data quality validation, trouble...

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