Join Stint Ltd as a Senior Data Engineer to lead the technical evolution of their data platform. You will take full ownership of production pipelines and MLOps infrastructure, bridging the gap between raw data and AI deployment. This high-impact role involves scaling AWS-native systems, mentoring junior engineers, and driving platform reliability for a fast-growing startup.
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Senior Data Engineer at Stint Ltd
Join Stint Ltd as a Senior Data Engineer and take the lead on a platform that reached £1m+ ARR in its first year. You will own the technical backbone of our AI-powered workforce management tools, scaling production pipelines and MLOps infrastructure on an AWS-first stack including SageMaker and Bedrock. Based in Camden, this role offers a £150k base plus equity for an engineer ready to drive reliability and mentor a growing team while building the future of hospitality tech.
About this role
Role overview
About the company
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.
What you'll do
What you will do
- Design, build, and maintain robust ETL/ELT pipelines using Airflow (MWAA) and own the end-to-end data quality and incident response lifecycle.
- Architect and deploy diverse ML workloads, including traditional forecasting models and modern agentic chatbots, using AWS SageMaker, Bedrock, and Lambda.
- Optimize complex SQL across Athena, Redshift, and PostgreSQL while driving Infrastructure as Code (IaC) adoption to improve platform reliability and developer experience.
Who you are
Who this is a fit for
- Proven experience in production data engineering and MLOps, with a deep understanding of pipeline design, model serving, and CI/CD for AI systems.
- Advanced proficiency in Python and SQL, with hands-on expertise in the AWS ecosystem, specifically S3, SageMaker, Lambda, and Glue.
- Pragmatic, incident-response mindset with the ability to triage production issues and a genuine interest in mentoring junior engineers in a fast-paced environment.
Why this role
Why this role is remarkable
- High-growth trajectory with the AI product scaling to £1m+ ARR in under 12 months, offering a front-row seat to a successful startup expansion.
- True technical ownership over the entire data lifecycle, from pipeline design to deploying advanced agentic AI workloads using AWS Bedrock and SageMaker.
- Strong mentorship component where you will shape team culture and raise the technical bar while remaining a hands-on individual contributor reporting to the Head of Data.
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