Senior Data Engineer — Cloud, AI & Product Analytics

We're offering a high-impact role where you'll build and own the data infrastructure powering our mobile and desktop applications, AI features, and business intelligence. As our Senior Data Engineer, you'll design scalable pipelines, maintain reliable AWS-based data platforms, and collaborate closely with product, engineering, and data science teams to ensure trusted, actionable data flows throughout the organisation. This is where data engineering meets modern AI and product development, giving you the opportunity to shape how data serves both cutting-edge LLM features and critical business decisions. You'll design and maintain robust data pipelines from diverse sources, own and evolve our AWS data platform including lakes, warehouses, and streaming infrastructure, and build the data layer supporting our AI features—from embedding pipelines to RAG architectures. Working alongside product and engineering teams, you'll establish data quality and governance practices, instrument applications for analytics, and provide clean, well-modelled datasets for our data scientists and analysts. You'll implement DataOps best practices and evaluate new technologies to keep our stack modern and performant. We offer a competitive salary and equity package, flexible remote working arrangements, and a generous learning and development budget. You'll have access to the latest AI tools and data infrastructure, with the rare opportunity to shape a data platform from the ground up with AI at its core. We're looking for someone with 5+ years of data engineering experience who combines strong technical skills in Python, SQL, AWS services, and data pipeline design with a product-minded approach and excellent communication abilities. If you're excited about building infrastructure that powers both innovative AI features and strategic business insights, we'd love to hear from you.