Stint

Data Engineer

Stint

full-time

Posted on:

Location Type: Hybrid

Location: London • United Kingdom

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Tech Stack

Amazon RedshiftAWSCloudETLPythonSQL

About the role

  • - 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.

Requirements

  • - 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.
Benefits
  • - 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
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
ETLELTSQLPythonML systemsdata pipelinesdata modellingdata orchestrationmonitoringtesting
Soft Skills
problem-solvingmentoringcollaborationcommunicationownershippragmatismadaptabilityresiliencestakeholder engagementfast-paced environment