Senior Data Engineer Location: London (Hybrid) About Swap Swap is the infrastructure behind modern agentic commerce. The only AI-native platform connecting backend operations with a forward-thinking storefront experience. Built for brands that want to sell anything - anywhere, Swap centralises global operations, powers intelligent workflows, and unlocks margin-protecting decisions with real-time data and capability. Our products span cross-border, tax, returns, demand planning, and our next-generation agentic storefront, giving merchants full transparency and the ability to act with confidence. At Swap, we’re building a culture that values clarity, creativity, and shared ownership as we redefine how global commerce works. About the role We're looking for a passionate and detail oriented Senior Data Engineer to join our platform team as we rapidly scale our stack for a new data-driven era at Swap. In this role, you’ll be driving change through building first-class data systems for the whole business whilst shaping the platform vision and driving internal best practices. This role requires a knowledgeable, hands-on and enthusiastic team player who is excited at the prospect of accelerating and scaling a greenfield project. If you're excited by the idea of working in a fast-paced, collaborative team where you can make a real impact, we'd love to hear from you! Responsibilities API Strategy & Development: Own the strategy and implementation of our API layer, enabling our products to access the data they need. Platform Technical Vision: Input and influence the technical direction of the data platform at Swap, ensuring we're always prepared for future business opportunities. Data Pipeline Development : Own our replication pipelines to ensure we have first-class observability, latency and alerting capabilities. Data Quality & Governance: Driving best practices to ensure our data is trustworthy and reliable as we scale together to deliver best in class products for Swap. What We Are Looking For 5 years experience working as a data engineer in customer-facing product environments. Demonstrable Python experience working with data pipeline, orchestration, and api framework technologies. Ideally, but not limited to, Data Load Tool (dlt) and FastAPI. Several years of experience working in a Google Cloud Platform environment, specifically BigQuery, Cloud Run and Cloud Storage. Experience deploying different CI/CD technologies, such as GitHub Actions, to achieve scalable and seamless multi-developer projects. Understanding of data warehouse architectures and best practices using data build tool (dbt). Ability to clearly communicate and influence the technical vision and direction of the platform to technical and non-technical stakeholders. Experience working with Shopify or e-commerce datasets. Benefits Competitive base salary. Stock options in a high-growth startup. Competitive PTO with public holidays additional. Private Health. Pension. Wellness benefits. Breakfast Mondays. Diversity & Equal Opportunities We embrace diversity and equality in a serious way. We are committed to building a team with a variety of backgrounds, skills, and views. The more inclusive we are, the better our work will be. Creating a culture of equality isn't just the right thing to do; it's also the smart thing.