About this role
Phone numbers and emails in this ad are masked until you log in.
auto_translated_note
About SwapSwap 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 Analytics Engineer to join our Analytics Engineering team, helping to scale our stack for a new data-driven era at Swap.This is an important contributor role within the team, offering a good degree of ownership and the chance to help build a scalable, modern data architecture. You’ll build and maintain 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 builder excited to contribute to our high-quality dbt project, help shape our analytics vision, and support the scaling of our models as we grow. If you thrive in a fast-paced, collaborative team with high ownership and impact, we'd love to hear from you!
Key Responsibilities
dbt Development: Scale our dbt project, shaping its architecture and CI/CD processes to support company-wide initiatives.Data Modelling & Architecture: Contribute to our data modelling strategy, helping to build and maintain the core set of performant, scalable, and trusted data models that power all downstream consumers - from our internal BI tool to our customer-facing agentic systems and analytics APIs.Data Quality & Governance: Champion and implement robust data quality standards, PII governance, testing, and documentation to ensure our data is trustworthy and reliable as we scale.Stakeholder Partnership: Partner with commercial (Sales, Finance) and product teams on data needs, assisting in translating business questions into data
Requirements
and helping to manage delivery expectations.BI & Self-Service Enablement: Contribute to the development and refinement of foundational data assets in our BI tool (Lightdash), helping stakeholders and analysts access insights effectively.What we would like to seeSolid experience in a data-focused role such as Analytics Engineering, Data Engineering, or BI Development, or equivalent academic experience.Hands-on experience with dbt (dbt Core/Cloud).Strong proficiency in SQL and good understanding of data modelling patterns.Experience with a modern cloud data warehouse (Snowflake, BigQuery etc).Experience with version control using Git.Good communication skills with the ability to collaborate effectively with both technical and non-technical stakeholders.A detail-oriented mindset with a willingness to learn and contribute to building trustworthy data products.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.Find Jobs in United Kingdom on Arbeitnow
Community Q&A
Anyone worked here? Ask before you apply.
No threads yet for this job or company.