Data Analytics Engineer I

We’re Checkout.com - you might not know our name, but we’re behind many of the digital experiences people use every day. When you book a holiday, order food, renew a subscription or check out online with brands like Spotify, Klarna, Uber Eats, TikTok, Sony, or eBay, there’s a good chance our technology powers the payment behind the scenes. At Checkout.com, we’re building where the world checks out - enabling over ten billion transactions every year for more than one billion shoppers globally. Our platform helps the world’s most ambitious businesses deliver seamless digital experiences at scale.

You will be joining the Financial Infrastructure team, responsible for building and maintaining the core systems powering our internal financial ecosystem. Every year, we process hundreds of billions of events that have a financial impact on Checkout.com and our merchants. Our team is responsible for maintaining an accurate record of all financial data, the data integrity of our systems and ensuring our infrastructure meets regulatory and compliance obligations in a scalable, reliable and fault-tolerant manner.

As an Analytics Engineer, you will play a pivotal role in our mission to make our financial data capabilities world-class. You will work closely with our Finance and Treasury teams to translate their requirements into robust and intuitive data models. You will design and build the data pipelines necessary to process and transform large amounts of data that our systems generate. You will be responsible for ensuring the accuracy and reliability of these data pipelines, as Checkout continues to scale as a business. You will have ownership over these processes, allowing you to take charge in maintaining a high standard of data quality.

• Design and build data pipelines to process data from our systems, services and applications.
• Implement monitoring and alerting frameworks to ensure data pipeline performance and reliability.
• Partner with other analytics engineers to design and implement scalable data models that support downstream business operations and analytical queries.
• Ensure data governance and security standards are maintained across our systems.
• Continuously evaluate and implement new technologies to improve our platform and systems.
• Collaborate with Finance stakeholders to translate business requirements into technical specifications and Service Level Agreements.

• 2+ years of experience in an Analytics Engineering or Data Engineering role with a focus on large scale data transformation and data warehousing.
• Excellent SQL coding skills.
• Experience with cloud-based data warehouse technologies such as Snowflake, Google BigQuery, or AWS Redshift.
• Experience with data transformation tools such as dbt, or Dataflow.
• Understanding of data modeling techniques.
• Experience with using visualisation platforms such as Looker, Tableau, or Apache Superset.
• Understanding of software engineering best practices and their application to data processing systems.
• Knowledge of Python, Java or Flink is a plus, but not a necessity.
• Strong attention to detail.
• Ability to work autonomously in a fast‑paced and dynamic environment.
• Strong communication and interpersonal skills.

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.

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.