Senior Data Engineer

London

Full Time Senior-level / Expert
Checkout.com logo
Checkout.com
Apply now Apply later

Posted 1 week ago

We're Checkout.com
We're building the connected finance businesses deserve. Unleashing them with tomorrow's technology, today. Our flexible payments solutions help global enterprises — like Samsung, Deliveroo and Adidas — launch new products and create experiences customers love. And it's not just what we build that makes us different. It's how.
We liberate smart, passionate people to collaborate, innovate and do their best work — faster. That's why we're one of the most valuable fintech firms around. But we're just getting started. By cutting through financial complexity, we'll empower companies to change the world. Join us. Unlock your potential.
Build tomorrow, today.
Checkout.com is looking for an ambitious Senior Data Engineer to join our Data Engineering Team.Our team’s mission is to ultimately provide all the tools/platforms which will ensure data is an assetthat can be easily leveraged to the benefit of our merchants. Part of that process also consists ofensuring internal stakeholders can easily collect, store, process and utilise data to build reports orproducts aiming to solve business problems. Our focus should be on maximising the amount of timebusiness stakeholders spend on solving business problems and minimising time spent on technicaldetails around implementation, deployment and monitoring of their solutions.

What you will be doing:

  • Creating CI/CD pipelines to deploy changes to our Data Warehouse
  • Automating our Snowflake environments management processes, preferably using infrastructure as code
  • Creating frameworks to execute automated (data) tests
  • Automating several aspects of our ingestion pipelines to ensure different teams across the business can own data pipelines end-to-end
  • Designing and implementing tooling and processes to guarantee data compliance
  • requirements
  • Designing and implementing a coherent, centralized strategy for logging, monitoring, and alerting of our data stack, including documenting the process to ensure our operations teams are well equipped to flag and diagnose issues
  • Creating guidelines/documentation and training to help different teams write and deploy models to Snowflake

About you:

  • You are a team player: you seek help when you need it, you help others when they need it!
  • Strong engineering background with an interest in data, BI, and machine learning
  • Creative problem solver with strong attention to detail
  • Experience using and maintaining Snowflake
  • Experience using dbt (data build tool)
  • Experience using and deploying Airflow in a scalable way
  • Experience with Python and SQL
  • Experience using TeamCity and Octopus or similar CI/CD tech
  • Experience with bash/shell for task automation
  • Experience using and managing cloud infrastructure, specifically AWS
  • Able to write high-quality documentation
  • Familiarity with stream processing technologies (Kinesis, Kafka)
#LI-GW1
What we stand for
At Checkout.com, everything starts with our values, including the experience we offer our people.
#AspireWe supercharge your professional growth with career development programs and leadership training. You can learn your way, with tailored pathways and online platforms. And be inspired at relevant conferences.
#ExcelWe don't stop at 'good' here. We strive for excellence amongst our teams every day and recognize colleagues who take it to the next level through our quarterly peer-nominated Hero awards.
#UniteWe're proud of our global connections and inclusive environment. So we champion this through our colleague-led community groups and celebrate many cultural events together.
Want to see us in action?
Take a peek inside here.
More about Checkout.comWe empower businesses to adapt, innovate and thrive with the connected payments they deserve. Our technology makes payments seamless. We provide the fastest, most reliable payments in more than 150 currencies, with in-country acquiring, world-class fraud filters and reporting, through one API. And we can accept all major international credit and debit cards, as well as popular alternative and local payment methods. Checkout.com launched in 2012, and we now have a team of 1000 people across 17 international offices. To date, we’ve raised a total of $830 million, with our recent Series C valuing us at $15 billion.
We believe in equal opportunitiesCheckout.com is an equal opportunities employer. We welcome applications from all members of society irrespective of age, sex, disability, sexual orientation, race, religion, or belief. We make recruiting decisions based on your experience, skills and personality. We believe that employing a diverse workforce is the right thing to do and is central to our success.
Job region(s): Europe
Job stats:  4  0  0
  • Share this job via
  • or

Explore more AI/ML/Data Science career opportunities