채용
Company Description
We’re Checkout.com – you might not know our name, but companies like eBay, ASOS, Klarna, Uber Eats, and Sony do. That moment when you check out online? We make it happen.
Checkout.com is where the world checks out. Our global network powers billions of transactions every year, making money move without making a fuss. We spent years perfecting a service most people will never notice. Because when digital payments just work, businesses grow, customers stay, and no one stops to think about why.
With 19 offices spanning six continents, we feel at home everywhere – but London is our HQ. Wherever our people work their magic, they’re fast-moving, performance-obsessed, and driven by being better every day. Ideal. Because a role here isn’t just another job; it’s a career-defining opportunity to build the future of fintech.
Job Description About the role
Checkout.com is looking for an ambitious Staff Data Engineer to join our Data and AI Platform Team. Our team’s mission is to build a platform where you can create reliable, scalable, AI-powered streaming and batch data applications, and share data across Checkout.com to improve business performance.
The Data and AI Platform team is here to ensure internal stakeholders can easily collect, store, process and utilise data to build AI use cases and data products aiming to solve business problems. Our focus is on maximising the amount of time engineers spend on solving business problems and minimising time spent on technical details around implementation, deployment, and monitoring of their solutions.
We're building for scale. As such, much of what we design and implement today is the technology/infrastructure which will serve hundreds of teams and petabyte-level volumes of data.
Key Responsibilities
-
Work with stream processing technologies (Kafka and Flink) 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 engineering managers
-
Build tooling (modules/SDKs/DSLs) and associated documentation to foster 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 to enable end users to build, host, monitor and deploy their own streaming applications
-
Provide consultancy across the technology organisation to drive the adoption of the platform and unlock event-driven use-cases
-
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
About You
While experience with our specific tech stack is a plus, we welcome candidates with a strong background in data systems who are eager to learn. The core remit of this role is to own and scale our event streaming capability, not to serve as a general DevOps or infrastructure engineer.
-
Strong presentation and communication skills with a proven track record of influencing engineering organisations
-
Strong engineering background with a track record of implementing and owning event streaming platforms
-
Hands-on experience working with stream technologies, primarily Kafka, but also Kinesis
-
Experience designing and implementing stream processing applications with Flink
-
Experience working with cloud-based technologies such as AWS (MSK, S3, Lambda, ECS, SNS)
-
Experience with Kubernetes (either self-hosted or on the cloud)
-
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 Java or Python
Additional Information Bring all of you to work
We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one.
Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands.
We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here.
It’s important we 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.
Life atCheckout.com
We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection.
Curious about what it’s like to be part of our team? Visit our Careers Page to learn more about our culture, open roles, and what drives us.
For a closer look at daily life at Checkout.com, follow us on LinkedIn and Instagram
총 조회수
0
총 지원 클릭 수
0
모의 지원자 수
0
스크랩
0
비슷한 채용공고
Checkout.com 소개

Checkout.com
Series DCheckout.com is a global payment processing platform that provides payment infrastructure and solutions for businesses to accept payments online and in-store. The company offers APIs and tools for payment processing, fraud prevention, and financial services integration.
1,001-5,000
직원 수
London
본사 위치
$40B
기업 가치
리뷰
3.7
13개 리뷰
워라밸
3.7
보상
3.8
문화
3.9
커리어
3.6
경영진
3.8
76%
친구에게 추천
장점
Opportunity for career growth
Supportive team and management
Competitive compensation and benefits
단점
Work-life balance varies by team
Career progression could be clearer
Room for improvement in processes
연봉 정보
0개 데이터
L2
L3
L4
L5
L6
L2 · Financial Analyst L2
0개 리포트
$59,001
총 연봉
기본급
$23,600
주식
$29,501
보너스
$5,900
$41,301
$76,701
면접 경험
45개 면접
난이도
3.1
/ 5
소요 기간
14-28주
합격률
35%
경험
긍정 64%
보통 24%
부정 12%
면접 과정
1
Phone Screen
2
Technical Interview
3
Hiring Manager
4
Team Fit
자주 나오는 질문
Technical skills
Past experience
Team collaboration
Problem solving
뉴스 & 버즈
Hello Clever partners with Checkout.com to expand its operations - IBS Intelligence
IBS Intelligence
News
·
3d ago
MPE 2026: Checkout.com Doubles Down on Agentic Commerce and US Expansion - Fintech Finance
Fintech Finance
News
·
4d ago
Checkout.com Highlights Data-Driven Approach to Optimizing Payment Performance - TipRanks
TipRanks
News
·
5d ago
Checkout.com Emphasizes Framework for Optimizing Payment Performance - TipRanks
TipRanks
News
·
5d ago




