Data Engineer (Mid-Level) - Streaming Focus (w/m/d)
Billie
Apply to this jobWe 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 represented
- Building meaningful connections with your colleagues through company and team events, interest groups, game nights, and more, powered by our Formula Fun Team!
Billie offers you the opportunity to be a part of one of the fastest-growing Fintech startups in Europe following the mission to innovate to create new freedom for businesses of all sizes. Our combined decades of experience in B2B Financing and Payments in a market thirsty for innovation and change make this a fantastic possibility to get into the most dynamic space in tech.
Join an international team of talented, passionate people where drive and merit matter. We work in nimble, cross-functional teams with open communication lines across the company. You’ll be surrounded by smart people from a wide variety of backgrounds from which you can learn and that want to learn from you.
Are you ready to join Billie?
Billie is proud to be an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment in our workplace. By embracing talents and abilities of all kinds, we aim to boost motivation and team creativity. We do not discriminate on the basis of race, religion, national origin, age, marital status, gender, political views, beliefs, sexual orientation, color, disability status, or any other demographic factors.
PLEASE NOTE:
Our policy includes a 180-day waiting period before reconsidering candidates for the same role. This ensures a fair and thorough evaluation of all applicants. If you apply within this cool-off period, your application will be automatically rejected.
Thank you for your understanding.
Summary
Design and maintain real-time data streaming pipelines and infrastructure.
Job title
Data Engineer (Mid-Level) - Streaming Focus (w/m/d)
Experience level
mid-level
Industry
fintech
Location requirements
Located in Berlin, hybrid work allowed.
Salary
Not specified
Management role
No
Required skills
Preferred skills
Specializations
Structured locations inferred from the posting.
Berlin, Germany