Software / Data Engineer (AWS & Python), (Remote, Full-Time) [IS008]

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 resolution across the platform.

• Improve API performance, scalability, and reliability.

• 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.

Requirements:
• 2–5+ years of experience in software engineering, data engineering, or backend engineering roles.

• Strong Python development experience in production environments.

• Experience working with AWS cloud services, particularly S3, Lambda, Glue, Athena, and Step Functions.

• Strong 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.

• Strong 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.

• Strong 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.

Benefits:
• Fixed Shifts: 12:00 PM - 9:30 PM IST (Summer) | 1:00 PM - 10:30 PM IST (Winter)

• No Weekend Work: Real work-life balance, not just words

• Day 1 Benefits: Laptop and full medical insurance provided

• Support That Matters: Mentorship, community, and forums where ideas are shared

• True Belonging: A long-term career where your contributions are valued

• 5-Day AI Training: Hands-on AI Academy onboarding to get you building with AI from day one

At Smart Working, you’ll never be just another remote hire.

Be a Smart Worker - valued, empowered, and part of a culture that celebrates integrity, excellence, and ambition.

If that sounds like your kind of place, we’d love to hear your story.