Data Modeling Engineer for Digital Payments

1 month ago


London, Greater London, United Kingdom Checkout Full time
Job Description

We're building a diverse and inclusive team at Checkout, where we enable businesses to thrive in the digital economy. Our flexible cloud-based payments platform helps global enterprises launch new products and create experiences customers love.

You'll be part of the Data Analytics team, responsible for enabling key insights on how products are performing and establishing a single source of truth for North Star and tracking metrics.

Key Responsibilities:
  • Design high-performance, reusable, and scalable data models for our data warehouse using dbt and Snowflake.
  • 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.
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).
  • Passionate about sales, finance, customer, marketing, and/or product analytics data.
  • Good attention to detail to highlight and address data quality issues.
About Us:

We offer a hybrid working model, with offices globally open 3 times a week. We provide amazing snacks, breakfast, and lunch options in all locations.

The estimated salary for this role is $120,000 - $180,000 per year, depending on location and experience.



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