Senior Analytics Engineer

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.

We're looking for a passionate and pragmatic Senior Analytics Engineer to join our Analytics Engineering team, scaling our stack for a new data-driven era at Swap.

This is a key strategic contributor role within the team, offering a high degree of ownership and the chance to build a scalable, modern data architecture. You'll build the scalable data models that power our entire business-from internal commercial insights for Sales and Finance to the trusted data sets enabling customer-facing agentic systems.

We need a hands-on builder excited to own our high-quality dbt project, shape our analytics vision, and scale our models to support hyper-growth. If you thrive in a fast-paced, collaborative team with high ownership and impact, we'd love to hear from you!

• dbt Project Ownership: Own and scale our dbt project, shaping its architecture and CI/CD processes to support company-wide analytics.
• Data Modeling & Architecture: Drive our data modeling strategy, building and maintaining the core set of performant, scalable, and trusted data models that power all downstream consumers-from our internal BI tool to our customer-facing agentic systems and analytics APIs.
• Data Quality & Governance: Champion and implement robust data quality standards, PII governance, testing, and documentation to ensure our data is trustworthy and reliable as we scale.
• Stakeholder Partnership: Act as the key data partner for commercial (Sales, Finance) and product teams, translating complex business needs into data solutions and managing delivery expectations.

• 5+ years of experience as an Analytics Engineer with a heavy focus on data modelling, transformation, and governance.
• Expert-level SQL and deep, hands-on experience with dbt (Core/Cloud). You can design complex models, implement robust testing, and set effective materialisation strategies.
• Deep expertise in Google BigQuery, including a strong, practical understanding of query performance tuning, partitioning, clustering, and cost optimisation.
• Strong, pragmatic understanding of data modelling, including dimensional modelling (Kimball) and layered data architectures (e.g., Medallion).
• Excellent communication and stakeholder management skills. You are autonomous, confident, and partner directly with senior leaders (e.g., Sales, Finance, Product) to translate needs into data solutions.

• Competitive base salary.
• Stock options in a high-growth startup.
• Competitive PTO with public holidays additional.
• Private Health.
• Pension.
• Wellness benefits.
• Breakfast Mondays.

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.