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 passionate, detail-oriented, and flexible Data Engineers to join our platform team as we rapidly scale our stack for a new data-driven era at Swap. This role is perfect for fast-paced, hands-on engineers who are eager to take ownership, drive immediate impact, and act as product-focused partners to our growing team.
You will be a key contributor in designing, optimising, and scaling our first-class data platform, which powers our next-generation customer-facing agentic systems. You will proactively collaborate with Product Managers and stakeholders to champion best practices, ensuring our platform is robust and prepared for future opportunities.
This is a hands-on builder role for knowledgeable, adaptable, and enthusiastic team players who are excited by the prospect of accelerating, scaling, and building out a greenfield platform.
Data Pipeline Engineering: Build, optimise, and maintain robust end-to-end data pipelines for key business functions. Focus on implementing low latency, strong observability, and effective alerting for both batch and stream processing to ensure data reliability.
API Development: Contribute to the design and implementation of new features within the API layer, working with product teams to ensure efficient data access.
Platform Contribution: Own specific data platform components, proactively contributing technical improvements for scalability, future readiness, and alignment with Swap's long-term product vision.
Data Quality & Governance: Actively implement, apply, and champion data quality best practices to ensure the data is trustworthy and reliable.
3+ years' experience working as a data engineer in a product-focused environment.
Strong Python experience working with data pipeline, orchestration, and API framework technologies. Ideally, but not limited to, Data Load Tool (dlt) and FastAPI.
Hands-on experience working in a Google Cloud Platform environment, specifically with core tools like BigQuery, Cloud Run, and Cloud Storage.
Solid understanding of data warehouse architectures and best practices.
Experience working with CI/CD technologies as part of a multi-developer team.
Ability to clearly communicate and articulate technical concepts and solutions to technical and non-technical colleagues.
Experience working with batch and stream data pipelines.
Experience with Shopify or e-commerce platforms/datasets is highly desirable.
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.
swap