Analytics Engineer

Overview of Swap

Swap operates as the foundational infrastructure for next-generation agentic commerce, uniquely integrating backend processes with innovative storefront experiences powered by AI. Designed for brands eager to sell anywhere, the platform centralizes global operations, enhances intelligent workflows, and enables margin protection through real-time data insights. Its suite of products covers cross-border transactions, tax calculations, returns, demand forecasting, and advanced agentic storefronts, granting merchants transparent and confident operational control.

Role Summary

We seek a hands-on and pragmatic Analytics Engineer to join our Analytics Engineering team and help evolve our data stack for a data-centric future at Swap. This role demands ownership and contribution towards developing a scalable, state-of-the-art data architecture. The engineer will design and uphold data models critical to powering business insights ranging from internal sales and finance analytics to trusted datasets for customer-facing agentic systems.

Key Responsibilities

• Expand and refine our dbt project by improving its architecture and establishing continuous integration and deployment processes to enable company-wide initiatives.
• Contribute strategically to data modeling approaches, constructing and sustaining core performant, scalable, and reliable data models that serve internal BI tools and customer-facing analytics.
• Promote and enforce robust data quality protocols, privacy governance, testing, and documentation to assure trustworthy data at scale.
• Collaborate closely with commercial and product teams to translate business requirements into technical data deliverables and appropriately manage expectations.
• Support the enhancement of foundational data assets within our BI tool (Lightdash) to facilitate effective insights access for stakeholders and analysts.

Candidate Qualifications

• Proven experience in data-centric roles such as Analytics Engineering, Data Engineering, or BI Development, or comparable academic background.
• Practical expertise working with dbt (Core or Cloud versions).
• Strong command of SQL and an in-depth understanding of data modeling patterns.
• Familiarity with modern cloud data warehouses like Snowflake or BigQuery.
• Experience using Git for version control in software development workflows.
• Effective communication skills, able to engage technical and non-technical stakeholders alike.
• Detail-focused mindset paired with eagerness to contribute to the creation of reliable data products.

Diversity & Equality Statement

At Swap, diversity and equal opportunities are core commitments. We actively foster an inclusive culture by assembling a team with varied backgrounds, skills, and perspectives. This approach is both ethically right and strategically beneficial to our work.