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Senior Data Engineer at Stint Ltd

Are you a Data Engineer who thrives at the intersection of infrastructure and AI? A high-growth London scale-up is looking for a Senior Data Engineer to become the technical backbone of their workforce management platform. You will own the transition from traditional ETL to advanced MLOps, deploying agentic AI systems and scaling robust pipelines on AWS for thousands of restaurant partners. If you are ready to move beyond firefighting and start architecting the future of hospitality data, this is the role for you.

About this role

Role overview

Join a high-growth scale-up as the technical backbone of a sophisticated data platform. You will own the full data lifecycle, from designing robust ETL/ELT pipelines in Airflow to deploying advanced AI/ML workloads. This role bridges the gap between data engineering and MLOps, ensuring reliability as the platform expands to thousands of restaurant partners.

About the company

Stint Ltd

Stint Ltd

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 mission-critical ETL/ELT pipelines using Airflow (MWAA) and AWS-native tools like Athena, Redshift, and S3.
  • Deploy and serve diverse ML workloads including traditional SageMaker models and agentic chatbots using Bedrock and Lambda.
  • Drive infrastructure-as-code (IaC) adoption and operational best practices to ensure high availability and data quality across the platform.

Who you are

Who this is a fit for

  • Expert-level Python and SQL skills with proven experience building production-grade data pipelines and handling incident response.
  • Hands-on MLOps background with specific experience packaging, versioning, and monitoring ML models in a cloud environment.
  • Deep familiarity with the AWS ecosystem, specifically Lambda, SageMaker, and RDS, coupled with a strong CI/CD and DevOps mindset.

Why this role

Why this role is remarkable

  • Take technical ownership of a production AWS-native data platform supporting complex workforce logistics for major hospitality brands.
  • Work at the cutting edge of AI deployment, moving beyond traditional forecasting to implement agentic architectures and LLM-based systems.
  • High-impact position with a direct path to architectural influence, freeing leadership from firefighting while mentoring a growing team of juniors.

Jack & Jill

How Jack & Jill work together

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Jill
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