Senior Analytics 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 centralizes 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.

At Swap Commerce, we are building the agentic commerce infrastructure for the future, enabling businesses to sell anything, anywhere, from a single, unified platform. As a rapidly growing B2B SaaS company, we empower our merchants with AI-driven solutions that boost revenue and increase savings. Data is at the core of our mission, and we are looking for an experienced Analytics Engineer to own our data transformation and modelling layer.

As our Analytics Engineer, you will be pivotal in shaping our data landscape. You will transform complex e-commerce, logistics, and sales data into pristine, reliable datasets that power our product and our business. Your work will directly empower teams across Swap Commerce to move from reactive to proactive, making smarter, data-driven decisions with confidence and helping our merchants thrive in a global marketplace.

• Design, build, and maintain robust and scalable data models using dbt (dbt Core/Cloud).
• Transform raw data from various sources into clean, reliable, and analysis-ready datasets.
• Write advanced, performant SQL to model complex business logic related to global sales, shipping, returns, tax and compliance.
• Implement and champion data quality testing, documentation, and data governance best practices within our dbt project.
• Collaborate with data analysts and business stakeholders to understand their data needs and translate business logic into technical requirements.
• Apply software engineering best practices to the analytics codebase, including version control (Git), code reviews, and CI/CD.
• Optimise our data warehouse for performance and cost-efficiency.

• 4+ years of experience in a data-focused role such as Analytics Engineering, Data Engineering, or BI Development.
• Extensive, hands-on experience building, deploying, and maintaining production-grade dbt projects. You should be highly proficient with dbt's core principles.
• Expert-level proficiency in SQL and a deep understanding of data modelling concepts (e.g., Kimball).
• Strong experience working with a modern cloud data warehouse (Snowflake, BigQuery, Redshift, etc.).
• Proficiency with version control using Git and an understanding of CI/CD workflows.
• Excellent communication skills with the ability to collaborate effectively with both technical and non-technical stakeholders.
• A proactive and detail-oriented mindset with a passion for building trustworthy and high-quality data products.
• Bonus points for: Experience in a high-growth SaaS, e-commerce, or logistics-focused company, familiarity with data ingestion tools (e.g., Fivetran, Stitch), or experience with Python for data scripting.

• 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.