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.

WHO WE ARE LOOKING FOR:

We’re seeking someone who can confidently say “yes” to these points or strives to get there:

• You are a data engineer or software developer with experience working in both backend systems and data platforms
• You are confident in your favorite programming language, but easily transition to SQL or a different language if required
• If you are faced with a problem statement you enjoy structuring and discussing the problem until you have come up with a solution design
• You are comfortable with deploying your own codebase

It’s great if you have experience with one or more of the following topics:

• Proficient in python or Kotlin (or another JVM-based language like Java or Scala)
• Event-driven systems and streaming frameworks (e.g. Kafka, Flink, Dataflow, Kinesis, etc.)
• Cloud-based analytical data and warehouses (e.g. Snowflake, BigQuery, Redshift, Clickhouse, etc.)
• Management of modern cloud platforms (e.g. AWS, GCP, Terraform, CI/CD)
• Integration of machine learning models into production systems (e.g. Metaflow, Sagemaker, MLflow, Vertex, etc.)
• Data orchestration tools (e.g., Airflow, Dagster)
• Data transformation frameworks (e.g. dbt, SQLMesh, or similar)

We’re seeking a talented and passionate Data Engineer to join our dynamic team. You will work on some of our most critical systems that will determine the success of our business, like the ML-powered risk assessment engines and the data infrastructure that enables it.
You will partner closely with cross-functional teams, including data scientists, analysts, and software engineers to design, implement, and maintain the data infrastructure and processes that enable Billie’s data-driven decision-making.
This position offers significant autonomy, allowing you to shape our data engineering strategies and make impactful decisions.

As our new Data Engineer, you will:

• Directly work on user-facing features and strategic initiatives by designing and managing the data infrastructure underpinning our decision systems
• Work with stakeholders across the business to understand Billie’s priorities and make sure we focus on what matters most and what solves actual problems
• Have the freedom to come up with your own solutions and participate in architectural discussions while making sure our systems are aligned to our engineering-wide standards of quality and performance
• Keep our systems are reliable and performant by following best practices, not compromising on quality, and continuously developing our suite of monitoring, testing, and alerting systems to proactively identify and address issues
• Ensure that we adhere not just to our internal standards, but are also in compliance with data privacy regulations and industry standards