Data Engineer (w/m/d)

at  Billie

We are Billie, the leading provider of Buy Now, Pay Later (BNPL) payment methods for businesses, offering B2B companies innovative digital payment services and modern checkout solutions. We are to create a new standard for business payments and have made it our mission to simplify the purchasing experience for all businesses making it a tool for growth. Our solutions are based on proprietary, machine-learning-supported risk models, fully digitized processes and a highly scalable tech platform. This makes us a deep-tech company building financial products, not the other way around. We love building simple and elegant solutions and we strive for automation and scalability.

WE’RE LOOKING FOR SOMEONE WITH EXPERIENCE IN SOME OF THE FOLLOWING AREAS:

• OLAP systems (e.g., Snowflake or similar technologies)
• Data Orchestration tools (e.g., Airflow or equivalent)
• Data Transformation frameworks (e.g., DBT or similar)
• Cloud platforms (e.g., AWS or other cloud services)
• Streaming Frameworks (e.g., Flink or comparable technologies)
  Don’t worry if you don’t have experience with all of these – we value potential and learning ability as much as existing skills!

We’re seeking a talented and passionate Data Engineer to join our dynamic team.
In this role, you’ll collaborate with fellow data engineers to design, implement, and maintain robust data pipelines and infrastructure that power our organization’s data-driven decision-making.
You’ll work closely with cross-functional teams, including data scientists, analysts, and software engineers, ensuring our data processes are available, reliable, and efficient.
This position offers significant autonomy, allowing you to shape our data engineering strategies and make impactful decisions.