Tech Lead

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.