Senior Data Engineer, Checkout.com

• Strong engineering background with a track record of implementing and owning components of a data platform
• Experience working with stream technologies, ideally Kafka, but Kinesis, Pulsar or similar would also be applicable
• Experience designing and implementing stream processing applications (kStreams, kSQL, Flink, Spark Streaming)
• Experience with Data Warehousing tools like Snowflake / Bigquery / Databricks, and building pipelines on these
• Experience working with modern cloud-based stacks such as AWS, Azure or GCP
• Excellent programming skills with at least one of Python, Java, Scala or C#
• You’re a mentor, raising the bar for your colleagues
• You’re a collaborator, always ready to dive in and partner to solve tough problems
• You’re a listener, and seek to understand the underlying problems, before pitching solutions
• You are able to drive through best practices by taking teams and organisations as a whole with you
• You are a thought leader, so we’d love to see articles, podcasts, meetups or conference talks if you’ve done them

• 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
• 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

• Additional day off on your birthday
• Learning scheme: 2 x Learning Days per year, financial support for external courses
• Internal employee communities and social clubs
• Employee-led community outreach, payroll giving and 2 x volunteering days
• Private comprehensive health insurance via BUPA (Medical history disregarded)
• 24 days holiday (plus bank holidays)
• Great Place to Work accredited in the UK and USA
• We proudly provide stock options to our high performing employees under our equity program
• Global Employee Assistance Programme (EAP)
• Family Forming financial support in partnership with Carrot
• Leadership Development Training
• Pension scheme provided via Aegon (We match contributions up to certain amount!)
• Group Income Protection via AIG
• Private Dental Insurance provided via BUPA
• GymPass subscription
• Season Ticket Loan
• Cycle to Work Scheme (Up to £5,000)

Total funding: $1.8bn

The payments industry has exploded in the last decade as eCommerce continues to grow as the use of cash falls. Checkout.com are building the go-to platform for all things related to payments, such as accepting transactions, processing them and detecting fraud. They've secured a steady stream of funding from top investors like Tiger Global Management, and are the strategic payments partner for some of the best known fast-moving brands globally such as Patreon, Dashlane, Udacity, Wise, Sony Electronics, and Klarna.