Analytics Engineer

Swap
London, UK
about 1 month ago
Apply on www.adzuna.co.uk
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
£73,097.0
Working hours
Regular working hours

Tech stack

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
+2 more
Snowflake Git

Job 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.

Requirements

  • 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.

About the company

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.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.adzuna.co.uk
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

6:21 min

Investigating push inefficiencies with upstream Git experts

Jonathan Creamer · Coffee With Developers

2:30 min

Leveraging BigQuery ML for scalable SQL-based segmentation experiments

Julian Joseph · LIVE

1:33 min

Integrating internal APIs and maintaining data sovereignty

Mahran Meißner Mahran Meißner · World Congress 2026 Europe

56 sec

Introduction to analytical data formats for software developers

Matthias Niehoff Matthias Niehoff · World Congress 2026 Europe

2:46 min

Transforming data architecture from on-premise to cloud

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

3:27 min

Explaining query execution overhead and caching limitations in BigQuery

Adnan Rahic · JS Congress

Videos

See all

Related articles

See all