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# Analytics Engineer

- **Company:** Swap
- **Location:** London, UK
- **Salary:** £73,097.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Data Analysis, Business Intelligence Development, BigQuery, Cloud Computing, Continuous Integration, Data Architecture, Information Engineering, Data Files, Data Governance, Data Warehousing, SQL Databases, Snowflake, Git
- **Published:** July 26, 2026
- **Apply:** https://www.adzuna.co.uk/jobs/details/5815363782

## About the Role

* Solid 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.

## Description

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!, * 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.


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