Senior Data Engineer

Location: London (Hybrid)

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 detail oriented Senior Data Engineer to join our platform team as we rapidly scale our stack for a new data-driven era at Swap. In this role, you’ll be driving change through building first-class data systems for the whole business whilst shaping the platform vision and driving internal best practices.

This role requires a knowledgeable, hands-on and enthusiastic team player who is excited at the prospect of accelerating and scaling a greenfield project. If you're excited by the idea of working in a fast-paced, collaborative team where you can make a real impact, we'd love to hear from you!

Responsibilities

• API Strategy & Development: Own the strategy and implementation of our API layer, enabling our products to access the data they need.

• Platform Technical Vision: Input and influence the technical direction of the data platform at Swap, ensuring we're always prepared for future business opportunities.

• Data Pipeline Development: Own our replication pipelines to ensure we have first-class observability, latency and alerting capabilities.

• Data Quality & Governance: Driving best practices to ensure our data is trustworthy and reliable as we scale together to deliver best in class products for Swap.

What We Are Looking For

• 5+ years experience working as a data engineer in customer-facing product environments.

• Demonstrable Python experience working with data pipeline, orchestration, and api framework technologies. Ideally, but not limited to, Data Load Tool (dlt) and FastAPI.

• Several years of experience working in a Google Cloud Platform environment, specifically BigQuery, Cloud Run and Cloud Storage.

• Experience deploying different CI/CD technologies, such as GitHub Actions, to achieve scalable and seamless multi-developer projects.

• Understanding of data warehouse architectures and best practices using data build tool (dbt).

• Ability to clearly communicate and influence the technical vision and direction of the platform to technical and non-technical stakeholders.

• Experience working with Shopify or e-commerce datasets.

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.