### **Description** You will be designing, building, and maintaining scalable data pipelines and architecture to support analytics that will feed live into our mobile and web-apps as well as enabling data-driven decision-making internally. *We are an* ***office-first*** *, collaborative team and this role is based in* ***Camden 4 days a week*** ### **What you will be doing** You will be combining business analytics, data visualisation, data mining and data infrastructure to enrich data access across all business units and to enable data-driven decisions. * Building and maintaining scalable data pipelines to support data integration into our customer-facing mobile and web-apps as well as internal dashboards * Designing and implementing data architecture to optimize data storage, retrieval, and processing * Developing ETL processes to ingest, transform, and load data from various sources, specifically APIs * Collaborating with data scientists and software engineers to understand data needs for our customer-facing mobile and web-apps * Working with internal stakeholders (e.g., Head of Ops, Head of Commercial) to understand and shape data requirements for internal data-driven decision making * Creating and maintaining data documentation, monitoring pipeline performance, and troubleshooting issues ### **This position might suit you, if you have** * Excellent problem-solving abilities demonstrated through academic or professional experience * Professional experience in data architecture, data engineering best practices, and scalable data solutions * Proficiency in data modeling techniques, database design, and data normalization * Professional experience with Python and SQL, ideally with experience using data processing frameworks (e.g. Airflow, Pytorch, Spark) * Professional experience building and maintaining data pipelines in a production environment * Willingness to develop basic to intermediate proficiency in backend development (e.g., Python with Django) to support data pipeline integrations * Familiarity with data versioning and data quality management practices * Familiarity with build and deployment automation and CI/CD Ideally: * Experience with data lakes, warehousing, and other data storage patterns * Proficiency with cloud platforms such as AWS or Azure, with experience using data services such as Apache Airflow, terraform or SageMaker ### **What we can offer you** * £45,000-£70,000 (salary banding will be dependent on technical skills and experience) * 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! If you want to learn more about us, check out our website, Instagram and Tik Tok. ### **About Stint** 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 Honest Burgers across 4,000+ sites across 28 cities in the UK - and they all love our product. Over the last 12months, 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!