Senior Data Engineer II - Streaming
London, United Kingdom
Checkout.com
Boost your acceptance rate, cut processing costs, fight fraud, and create extraordinary customer experiences with Checkout.com's payment solutions.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, Binance, 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 ultimately provide all the tools/platforms which will ensure data can be easily leveraged to the benefit of our products, merchants and internal collaborators/teams.
Our focus should be on maximising the amount of time other teams spend on solving business problems/innovating their products and minimising time spent on technical details around implementation, deployment and monitoring of their data solutions.
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.
Qualifications
- Work with stream processing technologies (mostly Kafka) to build a continuously available large-scale event streaming platform
- Leverage subject matter and technical expertise to provide leadership, mentoring, and strategic influence across the organisation whilst building strong relationships with engineers and managers
- Build tooling (SDKs/DSLs) and associated documentation to drive the adoption of the streaming platform by enabling upstream teams and systems to easily publish data and deploy streaming applications
- Implement all the necessary infrastructure which allows self-healing as well as clear, intuitive and observable monitoring of streaming data ingestion, processing and consumption through Datadog
- Apply data security and governance strategies in a streaming environment (schema registry/management implementation and adoption, encryption, ACL’s, GDPR/PCI compliance) whilst still enabling end users to solve their engineering and business problems
- Participate, translate, run and execute the collection of requirements and architecture/design initiatives into action plans
- Provide hands-on support for all event-based systems including incident triage and root cause analysis
Additional Information
- Strong engineering background with an interest in event streaming platforms
- Hands-on experience working with stream technologies, primarily Kafka, but also Kinesis
- Experience designing and implementing stream processing applications (kSQL, Kinesis Data Analytics, Flink)
- Experience working with cloud-based technologies such as AWS (MSK, S3, Lambda, ECS, SNS)
- Experience with SQL databases
- Experience working with Docker, container deployment and management
- Experience describing infrastructure as code (Terraform or similar) as well as designing and implementing CI/CD pipelines
- Excellent programming skills with at least one of Python, Java, Scala and C#
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.
We believe in equal opportunities
We work as one team. Wherever you come from. However you identify. And whichever payment method you use.
Our clients come from all over the world — and so do we. Hiring hard-working people and giving them a community to thrive in is critical to our success.
When you join our team, we’ll empower you to unlock your potential so you can do your best work. We’d love to hear how you think you could make a difference here with us.
We want to set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. We’ll be happy to support you.
Take a peek inside life at Checkout.com via
- Our Culture video https://youtu.be/BEwnpHuadSw
- Our careers page https://www.checkout.com/careers
- Our LinkedIn Life pages bit.ly/3OaoN1U
- Our Instagram https://www.instagram.com/checkout_com/
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture AWS CI/CD Data Analytics Docker ECS Engineering Flink Java Kafka Kinesis Lambda Pipelines Python Scala Security SQL Streaming Terraform
Perks/benefits: Flex hours Flex vacation
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