Senior Analytics Engineer

About the role

As a Data Analytics Engineer at Checkout you will be responsible for enabling key insights on how products are performing and 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. You’ll have the opportunity to build new data products and introduce step changes in how we view analytics for these critical areas, with end‑to‑end ownership from design to operationalisation.

Key responsibilities

• 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.) to enable self‑serve analytics across the organization.
• Work closely with data analysts and business teams to understand requirements and provide data ready for analysis and reporting.
• Continuously discover, transform, test, deploy and document data sources and data models.
• Apply and champion data‑warehouse governance: data quality, testing, documentation, coding best practices and peer reviews.
• Take initiative to improve and optimise analytics engineering workflows and platforms.

Required profile

• Proven delivery experience as a data, business intelligence or analytics engineer.
• Hands‑on data modelling and warehousing experience in large‑scale environments.
• Experience with software development lifecycle in analytics (version control, testing, CI/CD).
• Excellent SQL and data transformation skills, preferably with dbt or similar.
• Familiarity with at least one cloud platform: Snowflake, AWS, Google Cloud or Microsoft Azure.
• Passion for sales, finance, customer, marketing or product analytics data.
• Strong attention to detail to identify and address data quality issues.

Required skills

• dbt
• Snowflake
• Looker
• SQL
• Version control (Git)
• CI/CD pipelines
• AWS
• Google Cloud
• Microsoft Azure

What we offer

• Hybrid working model with three days per week in the office.
• Real ownership, fewer blockers and impactful work from day one.
• Supportive, inclusive team culture that encourages growth.