Tech Lead – Data Platform12-month contract | Fully Remote

We are working with an early-stage technology company building a data-intensive B2B SaaS product for enterprise customers.
The platform combines large-scale data pipelines, analytical and modelling capabilities, and a modern web application. The engineering team is small, highly technical and moving quickly as the product scales.
We are looking for a hands-on Tech Lead to take ownership of the technical direction, architecture and engineering delivery across the platform.

What you'll do
  • Own the technical architecture across data, backend and product.
  • Lead a small engineering team across delivery, priorities and technical direction.
  • Translate product requirements into practical technical plans.
  • Remain hands-on, writing and reviewing production code.
  • Establish strong engineering practices around testing, releases, observability and security.
  • Work with enterprise customers on technical and security requirements.
  • Help shape the product and technology roadmap.
Must-have
  • Significant hands-on engineering experience as a Tech Lead, Founding Engineer, Staff Engineer or similar.
  • Proven experience building and taking a data-driven product from prototype into production.
  • Strong experience with data platforms, production pipelines and cloud data warehouses.
  • Strong B2B SaaS architecture experience, including multi-tenancy, security and data protection.
  • Strong TypeScript and React/Next.js experience.
  • Experience working in a fast-moving startup or scale-up environment.
  • Entrepreneurial mindset with the ability to operate independently and comfortably with ambiguity.
  • Strong software engineering practices and experience using AI-assisted development tools.
Nice to have
  • Experience working in an early-stage startup through Series A or similar growth stage.
  • Snowflake or equivalent cloud data warehouse experience.
  • Experience with complex operational or event-based data.
  • Process mining, simulation or Operations Research experience.
  • Experience building analytical or data-intensive B2B products.
  • Experience working with production AI/LLM features.