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.

About the Role:

We're seeking a talented and passionate Mid-Level Data Engineer to join our dynamic team at Billie. You'll work on our most critical systems, including our ML-powered risk assessment engines and the underlying data infrastructure, with a particular focus on real-time data processing capabilities.

This position offers significant autonomy, allowing you to shape our data engineering strategies and make impactful decisions.

Your Responsibilities:

• Design, build, and maintain scalable and reliable real-time data streaming pipelines, with a focus on technologies like Kafka

• Partner with cross-functional teams (data scientists, analysts, software engineers) to implement data infrastructure that powers critical business decisions

• Work with stakeholders to understand business priorities and develop solutions that solve actual problems

• Optimize streaming applications for latency, throughput, and reliability

• Propose innovative solutions and participate in architectural discussions

• Ensure system reliability and compliance with data privacy regulations (like GDPR)

Who We're Looking For:

You can confidently say "yes" to these points or are striving to get there

• Proven experience as a data engineer or software developer working with backend systems and data platforms

• Strong experience with event-driven architectures and hands-on experience with Kafka

• Proficiency in a programming language (Python, Kotlin, or other JVM languages)

• Enjoys understanding the "why" behind problems, structuring discussions, and developing robust solution designs

• Capable of testing and deploying your own codebase in a cloud environment

• Open to collaboration and able to weigh tradeoffs between different technical solutions

Bonus Skills (Nice to Have):

• Experience with stream processing frameworks like Apache Flink

• Familiarity with cloud-based analytical data warehouses (Snowflake, BigQuery, Redshift, Clickhouse)

• Experience managing infrastructure on cloud platforms (AWS, GCP) using tools like Terraform

• Knowledge of integrating machine learning models into production systems

• Experience with data orchestration tools (Airflow, Dagster)

• Understanding of data transformation frameworks (dbt, SQLMesh)

What we offer:

• Challenging and impactful work that drives personal and professional growth

• One of the best Virtual Shares Incentive Programs in the market, so that everyone at Billie is invested in our success

• Flexible work hours and trust in your ability to deliver, empowering you to take control of your work-life balance

• A hybrid working approach that allows you to work from home for up to 3 days per week

• Enjoy 30 days vacation per year on top of paid public holidays, sabbatical opportunities, and extra child sickness leave for parents.

• Our “Catch a Ride with Billie” program that enables discounted access to Berlin Public Transport (BVG), Deutschland-Ticket, OR JobRad

• A yearly development budget to broaden your skill set and horizons

• Free German group classes

• An English-speaking, multicultural team with more than 40 nationalities

• Building meaningful connections with your colleagues through company and team events, interest groups, the Billie run club, game nights, and more, powered by our Formula Fun Team!