Smart Working
Engineering
Software/DataEngineer-AWS&Python
Neural analysis suggests this role is
optimal for Mid candidates.
“Software/Data Engineer - AWS & Python at Smart Working. Skills: AWS, Python, Data Engineering, Backend Engineering, Cloud Services. 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”
Industry & Context.
Problem-solving skills with a pragmatic engineering mindset; Troubleshooting; Issue resolution
Fixed Shifts: 12:00 PM - 9:30 PM IST (Summer) | 1:00 PM - 10:30 PM IST (Winter)
What They're Looking For.
Must Have
Python development experience in production environments, Experience working with AWS cloud services, particularly S3, Lambda, Glue, Athena, and Step Functions, SQL skills and experience working with large datasets and data transformations, Experience building and maintaining data pipelines and ETL workflows, Experience working with backend APIs and cloud-based systems, Comfortable working across backend engineering, infrastructure, and data processing, problem-solving skills with a pragmatic engineering mindset, Ability to take ownership of systems end-to-end, including maintenance, troubleshooting, and improvement initiatives, Comfortable operating in a fast-moving environment with evolving priorities, Experience using AI-assisted development tools such as ChatGPT, Claude, Cursor, or Copilot to improve productivity and automate workflows, communication and collaboration skills
Nice to Have
Experience supporting analytics dashboards or client-facing reporting platforms, Experience optimising AWS Lambda and API Gateway performance, Familiarity with serverless architecture patterns, Experience working with SFTP-based ingestion pipelines, Exposure to modern frontend technologies and dashboard tooling, Experience in modernising or consolidating legacy systems, Familiarity with automotive, insurance, telematics, or analytics-related data platforms, Experience improving observability, monitoring, and operational reliability across cloud systems
What You'll Do.
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
Maintain and improve the Python codebase
Support and enhance the client-facing analytics dashboard and API delivery layer
Perform data quality validation
and issue resolution across the platform
Improve API performance
Help redesign and modernise data structures and vehicle make/model mapping systems
Support the productionisation of a cloud-based repair database
Reduce technical debt and improve engineering standards across the stack
Integrate and manage third-party data providers and ingestion workflows
Work independently to identify platform improvements and deliver pragmatic solutions
Use AI tools and automation to improve engineering productivity and operational efficiency
How You'll Work.
Team & Collaboration
Collaborative environment; Communication and collaboration skills
Communication Scope
Communication and collaboration skills
Full Job Description
## Description 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, troubleshooting, and issue
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