Lead 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.

About the Role

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

This is a critical leadership role within the team, offering a high degree of ownership and the chance to directly shape and implement a scalable, modern data architecture. You’ll lead the development and maintenance of the 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 leader excited to drive the success of our high-quality dbt project, help define our analytics vision, and mentor the team as we scale our models and grow. If you thrive in a fast-paced, collaborative environment with high ownership and impact, we'd love to hear from you!

Key responsibilities

• dbt Project Leadership: Lead the technical vision, architecture, and scaling of our dbt project, establishing best practices for development, CI/CD, and code quality across the team.
• Strategic Data Modeling & Architecture: Drive the strategic design and maintenance of a robust, scalable, and high-performance core data warehouse (fact and dimension models) that serves as the single source of truth for all critical business functions and data products.
• Data Governance & Quality: Institute and enforce advanced data quality frameworks, comprehensive testing, PII governance protocols, and documentation standards to ensure data trust and reliability at scale.
• Cross-Functional Data Strategy: Act as a key strategic partner to commercial (Sales, Finance) and product leadership, proactively identifying data opportunities, translating complex business objectives into clear, executable engineering requirements, and managing the delivery roadmap.

What we would like to see

• 7+ years of experience in a data-focused role such as Analytics Engineering, Data Engineering, or BI Development, with a track record of leading projects and teams.
• Expert, hands-on experience with dbt (dbt Core/Cloud) and a deep understanding of its advanced features and best practices for large-scale data transformation.
• Exceptional proficiency in SQL and expertise in various data modelling design patterns (e.g., Dimensional, Data Vault, Third Normal Form).
• Extensive experience working with a modern cloud data warehouse (Snowflake, BigQuery, Databricks, etc.), including performance tuning and cost optimisation.
• Exceptional communication and stakeholder management skills, with the ability to translate complex technical concepts to non-technical audiences and influence technical direction.

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.