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Data Engineer

Job not on LinkedIn

๐Ÿ•’ March 18

๐Ÿข๐Ÿก London โ€“ Hybrid

โฐ Full Time

๐ŸŸก Mid-level

๐ŸŸ  Senior

๐Ÿšฐ Data Engineer

๐Ÿ‡ฌ๐Ÿ‡ง UK Skilled Worker Visa Sponsor

info

Amazon Redshift

AWS

Cloud

ETL

Python

SQL

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Logo of Stint

Stint

WebsiteLinkedIn

51 - 200 employees

Stint started as a simple idea: we wanted to empower students to earn flexibly around their studies so they could balance work with university life. Today, our groundbreaking app has connected over 250,000 people to hundreds of top brands in hospitality for flexible part-time work.

๐Ÿ“‹ Description

โ€ข - Own and evolve our data pipelines -designing, building, and maintaining ETL/ELT workflows that ensure high-quality, reliable data across the platform. โ€ข - Deploy and support production ML systems - from forecasting models to LLM-driven and agentic workflows -with proper monitoring, versioning, and CI/CD. โ€ข - Maintain and improve our AWS-native data platform (S3, Redshift, RDS, Athena, SageMaker, Lambda), driving operational best practices and platform reliability. โ€ข - Write and optimise complex SQL to support analytics, reporting, and data modelling for downstream teams and BI tooling. โ€ข - Build and maintain integrations with internal services and partner systems, ensuring clean and scalable data access. โ€ข - Act as a go-to technical partner for production data issues - diagnosing problems, improving resilience, and keeping systems running smoothly. โ€ข - Support and mentor junior team members through code reviews, pairing, and sharing best practices. โ€ข - Work closely with stakeholders across the business to translate data challenges into practical, scalable solutions.

๐ŸŽฏ Requirements

โ€ข - Youโ€™ve studied something technical -like Computer Science, Engineering, Mathematics, or a related field. โ€ข - You have strong data engineering fundamentals, including pipeline design, orchestration, testing, and monitoring. โ€ข - Youโ€™re confident writing production-quality Python and complex SQL across modern data platforms. โ€ข - You have hands-on experience deploying and running ML systems in production, including model serving and monitoring. โ€ข - Youโ€™re comfortable working across cloud infrastructure (ideally AWS) and understand platform and DevOps principles. โ€ข - Youโ€™re pragmatic and ownership-driven - happy to dive into problems, unblock others, and keep things running. โ€ข - You enjoy working in fast-moving environments where you can have real impact on how systems are built and scaled.

๐Ÿ–๏ธ Benefits

โ€ข - Salary is competitive and open to discussion based on level โ€ข - Private medical insurance โ€ข - A social, friendly and welcoming team based in the heart of Camden โ€ข - Office gym membership โ€ข - Ownership shares in a well-funded, growing start-up โ€ข - Dog friendly office! โ€ข - Free office fruit and snacks โ€ข - Office dinner if working late โ€ข - Regular office breakfasts and lunches

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