Company Description
Checkout.com is one of the most exciting fintechs in the world. Our mission is to enable businesses and their communities to thrive in the digital economy. We’re the strategic payments partner for some of the best known fast-moving brands globally such as Wise, Hut Group, Sony Electronics, Homebase, Henkel, Klarna and many others. Purpose-built with performance and scalability in mind, our flexible cloud-based payments platform helps global enterprises launch new products and create experiences customers love. And it’s not just what we build that makes us different. It’s how.
We empower passionate problem-solvers to collaborate, innovate and do their best work. That’s why we’re on the Forbes Cloud 100 list and a Great Place to Work accredited company. And we’re just getting started. We’re building diverse and inclusive teams around the world — because that’s how we create even better experiences for our merchants and our partners. And we need your help. Join us to build the digital economy of tomorrow.
Job Description
Checkout.com is looking for an ambitious Senior Data Engineer to join our Data Platform Team. Our team’s mission is to build a world-class data platform that powers our products and analytics.
The Data Platform team is here to ensure internal stakeholders can easily collect, store, process and utilise data to build reports or products aiming to solve business problems. Our focus is on maximising the amount of time business stakeholders spend on solving business problems and minimising time spent on technical details around implementation, deployment, and monitoring of their solutions.

The core tech stack we use is based on AWS, using:

• Kafka as our message transport
• Flink for (near) real time processing
• Datahub as our catalog
• Snowflake as our warehouse
• Airflow for scheduling
• DBT for data transformation
• Montecarlo for monitoring

The platform here encompasses the end-to-end, first for real time / streaming use cases but also for our analytical / warehouse needs.
We’re building for scale. As such, much of what we design and implement today will be the technology/infrastructure which will serve hundreds of teams and petabyte-level volumes of data.

APPLY WITHOUT MEETING ALL REQUIREMENTS STATEMENT

If you don’t meet all the requirements but think you might still be right for the role, please apply anyway. We’re always keen to speak to people who connect with our mission and values.
Hybrid Working Model: All of our offices globally are onsite 3 times per week (Tuesday, Wednesday, and Thursday). We’ve worked towards enabling teams to work collaboratively in the same space, while also being able to partner with colleagues globally. During your days at the office, we offer amazing snacks, breakfast, and lunch options in all of our locations.

APPLY WITHOUT MEETING ALL REQUIREMENTS STATEMENT

If you don’t meet all the requirements but think you might still be right for the role, please apply anyway. We’re always keen to speak to people who connect with our mission and values.

APPLY WITHOUT MEETING ALL REQUIREMENTS STATEMENT

If you don’t meet all the requirements but think you might still be right for the role, please apply anyway. We’re always keen to speak to people who connect with our mission and values.

• You’ll work as part of the team to build enablement components across the platform, as well as monitor and support the capabilities we offer.
• Develop and maintain documentation for data systems and processes.
• Participate in code and design reviews and provide constructive feedback.
• Wherever possible, automate workflows and processes, we’re aiming for the platform to be as self-sustaining as possible.
• Stay up-to-date with the latest data and streaming engineering technologies and trends.
• Use that knowledge and subject matter expertise to mentor the more junior members of the team, and work with other “application” teams to provide guidance and best practice.
• Build light weight tooling and associated reference patterns to foster the adoption of the platform by enabling upstream teams and systems to easily publish and manipulate data and deploy applications using industry best practices
• Implement all the necessary infrastructure to enable end users to build, host, monitor and deploy their own applications
• Provide consultancy across the technology organisation to drive the adoption of the platform and unlock use-cases
• Promote data quality and governance as a first class citizen of the platform
  Qualifications