At Stint, we’re using AI tools to transform how hospitality businesses operate. We started by building the UK’s largest flexible workforce of hyper-local students available for short 2–3 hour shifts, working with brands like PizzaExpress, Pret a Manger, Gails, and many more. Now, we’re combining that workforce with an AI tool – creating a platform that no competitor can replicate.

In just 10 months, our new AI software has surpassed £1m in ARR and we are on track to multiply that in the next 12 months. We are aggressively capturing the UK market, and international expansion is next - with plans to launch big in the US soon. We’re looking for a Senior Data Engineer to become a key technical backbone of our data platform.

You’ll take ownership of the infrastructure and pipelines that power our analytics and machine learning - ensuring data flows reliably from ingestion through to production models and real-time decisioning. This is a hands-on role focused on building, shipping, and maintaining robust data and ML systems. You’ll work closely with Data Scientists, Engineers, and Product teams to keep our platform running smoothly while continuously improving reliability, scalability, and performance.

We are an office-first , collaborative team and this role is based in Camden 4 days a week. Own and evolve our data pipelines - designing, building, and maintaining ETL/ELT workflows that ensure high-quality, reliable data across the platform. Deploy and support production ML systems - from forecasting models to LLM-driven and agentic workflows -with proper monitoring, versioning, and CI/CD.

Maintain and improve our AWS-native data platform (S3, Redshift, RDS, Athena, SageMaker, Lambda), driving operational best practices and platform reliability. Write and optimise complex SQL to support analytics, reporting, and data modelling for downstream teams and BI tooling. Build and maintain integrations with internal services and partner systems, ensuring clean and scalable data access.

Act as a go-to technical partner for production data issues - diagnosing problems, improving resilience, and keeping systems running smoothly. Support and mentor junior team members through code reviews, pairing, and sharing best practices. Work closely with stakeholders across the business to translate data challenges into practical, scalable solutions.

You’ve studied something technical - like Computer Science, Engineering, Mathematics, or a related field. You have strong data engineering fundamentals, including pipeline design, orchestration, testing, and monitoring. You’re confident writing production-quality Python and complex SQL across modern data platforms.

You have hands-on experience deploying and running ML systems in production, including model serving and monitoring. You’re comfortable working across cloud infrastructure (ideally AWS) and understand platform and DevOps principles. You’re pragmatic and ownership-driven - happy to dive into problems, unblock others, and keep things running.

You enjoy working in fast-moving environments where you can have real impact on how systems are built and scaled. Salary is competitive and open to discussion based on level Private medical insurance A social, friendly and welcoming team based in the heart of Camden Office gym membership Ownership shares in a well-funded, growing start-up Dog friendly office!