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# Analytics Engineer London

- **Company:** Checkout.com
- **Location:** London, UK
- **Contract:** Permanent contract
- **Skills:** Clean Code Principles, Adaptable Database Systems, Amazon Web Services, Data Analysis, Microsoft Azure, Big Data, Cloud Computing, Continuous Integration, Data Transformation, Data Warehousing, Software Engineering, SQL Databases, Working Model 2D, Google Cloud, Snowflake, Looker Analytics, Software Version Control
- **Published:** October 1, 2026
- **Apply:** https://www.apply4u.co.uk/jobs/analytics-engineer-london/49462247

## About the Role

data quality, testing, documentation, coding best practices and peer reviews Take initiative to improve and optimise analytics engineering workflows and platforms Key Requirements Proven delivery experience as a data, business intelligence or analytics engineer Hands-on proven data modeling and data warehousing skills demonstrated in large-scale data environments Proven experience in software development lifecycle in analytics (e.g. version control, testing, and CI/CD) Excellent SQL and data transformation skills (e.g. ideally proficient in dbt or similar) Familiarity with at least one of these Cloud technologies: Snowflake, AWS, Google Cloud, Microsoft Azure Passionate about sales, finance, customer, marketing and/or product analytics data Good attention to detail to highlight and address data quality issues Benefits Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. #J-18808-Ljbffr

## Description

establishing a single source of truth for North Star and tracking metrics, working closely with product managers and product data scientists to shape the product's evolution at Checkout. You'll have the opportunity to build new data products and introduce step changes in how we view analytics for these critical areas. You'll have end-to-end ownership of multiple data products from design to implementation to the operationalisation. How You'll Make An Impact Design and implement high-performance, reusable, and scalable data models for our data warehouse using dbt and Snowflake Design and implement Looker structures (explores, views, etc) which will enable users across the organization to self-serve analytics Work closely with data analysts and business teams to understand business requirements and provide data ready for analysis and reporting Continuously discover, transform, test, deploy and document data sources and data models Apply, help define, and champion data warehouse governance


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