Data Engineer

We're looking for a Mid / 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., * 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.

Do you have experience in SQL?, * 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!
• Free office fruit and snacks
• Office dinner if working late
• Regular office breakfasts and lunches

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., Stint solves one of hospitality's hardest problems, staying perfectly staffed when demand changes by the hour. We do this by pairing smart AI driven software with our flexible, on-demand workforce that's ready to step in exactly when needed. Over the last six years, we've focused on building our workforce of hyper-local students and other flexible workers, who are available for 2-3hr shifts exactly when our partners need them most. We have built trust within the hospitality industry, earning the confidence of major brands by proving the value of our workforce model. Now we work with some of the UK's best-known hospitality names - including PizzaExpress, Gail's and Pret across 4,000+ sites across 28 cities in the UK - and they all love our product. Over the last 12 months, we've used this foundation to build something even more powerful: the brain behind a business's rota planning process. By applying AI to multi-year, proprietary and public data sources, we help businesses forecast demand, generate headcount suggestions, and build the optimal rotas automatically. When combined with our flexible workforce, our intelligent platform lets hospitality businesses run lean core teams and scale up during peak hours without overstaffing or compromising on service. What started as a smart way to fill shifts, has now become an end-to-end staffing engine that's incredibly hard to replicate and uniquely built for the hospitality industry. We're looking for people to join our 50 person team who care about solving real problems with tech, are excited to grow with us, and want to build something pretty cool, very quickly. We work hard, have fun doing it, and don't take ourselves too seriously. We look forward to working with you!     If you require alternative methods of application or screening, you must approach the employer directly to request this as Indeed is not responsible for the employer's application process.