Senior Data Engineer - Streaming

Checkout.com; London; Hybrid; GBP 60,000 - 100,000

Job description

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.

Key Responsibilities

• 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

You will have:

• 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.

Additional Information

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.

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 link
• Our careers page link
• Our LinkedIn Life pages link
• Our Instagram link