Senior Autonomous Data Systems Engineer

Diagon is a funded startup on a mission to build a next-generation platform for automated sourcing of high tech manufacturing equipment. Our platform leverages AI, structured data, and modern engineering techniques to streamline how industrial products are discovered, validated, and acquired by the world’s largest companies. We're a lean, senior-led team moving fast to reshape how the manufacturing world connects to the tools it needs.

We're hiring a Senior Autonomous Data Systems Engineer who will own the design, build, and maintenance of a critical service.

• Lead AI-powered data warehousing of manufacturing equipment information.
• Architect a data store to represent (almost) every product and OEM globally.
• Build ingestion pipelines from internal and external sources.
• Develop internal web UIs for data review & curation.
• Expose clean APIs for other services to sync with and build from.
• Apply “vibe coding” at scale—embed quality, testing, and security in every step.

• Full ownership—this is your domain.
• Freedom to choose tools and patterns.
• A small, focused, AI-augmented team environment.
• Opportunity to shape the future of manufacturing data at planetary scale.

• 5+ years in software engineering, ideally with standalone service builds.
• Experience with building scalable schemas and ingestion.
• Strong background in web scraping/data pipelines (ETL, Airflow, similar).
• Demonstrated expertise in using AI tools/workflows to accelerate development responsibly.
• A mix of technical depth, curiosity, and the ability to go deep or pivot quickly.
• Excellent communication, autonomy, and a growth mindset.

• Experience in manufacturing tech, marketplaces or hardware sourcing.
• Experience with a Next.js, Tailwind and Postgre
  
  SQL stack.