Analytics Engineer

Swap

Analytics Engineer at Swap, contributing to data-driven architecture and analytics. Join a team passionate about building scalable data models and insightful solutions.

Posted 7/24/2026full-timeLondon • 🇬🇧 United KingdomMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in dbt Development, Data Modelling, and Data Quality Governance, ensuring the creation of scalable and reliable data models while effectively collaborating with cross-functional teams to meet data needs.

Highest-signal resume keywords

Dbt DevelopmentSQL ProficiencyData ModellingCloud Data Warehouse ExperienceVersion Control with Git

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Dbt CoreDbt CloudSQLData Modelling PatternsData Quality Standards

Soft Skills

Good Communication SkillsDetail-Oriented MindsetCollaboration with Stakeholders

Tools & Technologies

SnowflakeBigQueryLightdash

Industry Keywords

Analytics EngineeringData EngineeringBI DevelopmentData GovernanceCI/CD Processes

Tech Stack

Tools & technologies

BigQueryCloudSQL

About the role

Key responsibilities & impact

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

What you’ll need

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.

Benefits

Comp & perks

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.