You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. Job DescriptionAs 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 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 ImpactDesign and implement high-performance, reusable, and scalable data models for our data warehouse using dbt and SnowflakeDesign and implement Looker structures (explores, views, etc) which will enable users across the organization to self-serve analyticsWork closely with data analysts and business teams to understand business requirements and provide data ready for analysis and reportingContinuously discover, transform, test, deploy and document data sources and data modelsApply, help define, and champion data warehouse governance: data quality, testing, documentation, coding best practices and peer reviewsTake initiative to improve and optimise analytics engineering workflows and platformsKey RequirementsProven delivery experience as a data, business intelligence or analytics engineerHands-on proven data modeling and data warehousing skills demonstrated in large-scale data environmentsProven 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 AzurePassionate about sales, finance, customer, marketing and/or product analytics dataGood attention to detail to highlight and address data quality issuesAdditional InformationBring all of you to workWe create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one.Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection.
Remote engineer in London employer: Checkout.com
Checkout.com is an exceptional employer that champions a flexible hybrid working model, allowing employees to balance their professional and personal lives effectively. With a strong emphasis on growth and collaboration, the company provides ample opportunities for career development while working alongside talented teams in the dynamic financial services sector in London. Joining Checkout.com means being part of a forward-thinking organisation that values compliance and innovation in payments and product regulation.
