Analytics Engineer

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. Swap is entering a new data-driven era, and we need an Analytics Engineer to help us build for it. You'll join our Analytics Engineering team as a key contributor with real ownership. Your models will power the whole business, from the commercial insights Sales and Finance run on to the trusted data behind our customer-facing agentic systems. You'll help shape a modern, scalable data architecture, and you'll see your work used. We want a hands-on builder who wants to work in a high-quality dbt project and help set our analytics direction. If you like fast-moving, collaborative teams where your work counts, we'd love to hear from you. What you'll do • Scale our dbt project, shaping its architecture and CI/CD so it keeps up with company-wide ambitions. • Help define our data modelling strategy and maintain the core set of fast, scalable, and trusted models that everything downstream relies on, from our BI tool to our agentic systems and analytics APIs. • Champion strong standards for data quality, PII governance, testing, and documentation, so our data stays reliable as we grow. • Work with Sales, Finance, and Product to turn business questions into clear data requirements, and keep delivery expectations realistic. • Help build and refine the foundational data assets in Lightdash, so stakeholders and analysts can get to answers themselves. What we'd like to see • Solid experience in a data role such as Analytics Engineering, Data Engineering, or BI Development (or equivalent academic experience). • Hands-on dbt experience, ideally. • Hands-on orchestration experience, with tools like Airflow or Dagster. • Strong SQL and a good grasp of data modelling patterns. • Experience with a modern cloud data warehouse, such as Snowflake or BigQuery. • Confidence with Git and version control. • Clear communication, and the ability to work well with technical and non-technical colleagues. • A detail-oriented mindset, and a drive to keep learning and build data products people can trust. What we offer 💰 Competitive base salary: Pay that reflects your experience and the impact you’ll have, reviewed regularly as you grow with us. 📈 Stock options: Own a piece of what we’re building. As a high-growth scale-up, you’ll share in the upside as the company grows. 🏖️ Generous PTO: Competitive annual leave, with public holidays on top, plus your birthday off so you can celebrate properly. 🏥 Private healthcare: Comprehensive private medical cover, so you can get the care you need quickly. 🏦 Pension contributions: Company contributions to help you build long-term financial security. 🧘 Wellness benefits: Support for your physical health and wellbeing, so you can look after yourself in the way that works for you. 💚 Mental health support: Access to mental health resources and support, because looking after your mind matters as much as your body. 👶 Enhanced maternity and paternity leave: Extra support when you’re growing your family, so you can focus on what matters most. 🏡 Flexible working: Choose how and where you do your best work, with the trust and autonomy to manage your own time. ✈️ Work abroad for 4 weeks a year: Take your laptop somewhere new for up to four weeks each year, whether that’s family, travel, or a change of scenery. 🎉 Quarterly team offsite budget: A dedicated budget each quarter for your team to get together, connect, and have fun. 🍻 Thursday happy hour: Wind down the week with your colleagues at our Thursday happy hour, held across all of our locations. 🥞 Breakfast Mondays: Start the week with a good meal and good company. 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.