Auf einen Blick
- Aufgaben: Join us as a Data Engineer to build and maintain our data infrastructure.
- Arbeitgeber: Billie is a leading BNPL provider, revolutionizing business payments with innovative tech solutions.
- Mitarbeitervorteile: Enjoy flexible hours, remote work options, 30 vacation days, and a great incentive program.
- Warum dieser Job: Be part of a fast-growing fintech startup where your work directly impacts business success.
- GewĂĽnschte Qualifikationen: Experience in backend systems, data platforms, and proficiency in programming languages like Python or Kotlin.
- Andere Informationen: Join a diverse, multicultural team and enjoy a vibrant office environment with great perks.
Das voraussichtliche Gehalt liegt zwischen 43200 - 72000 € pro Jahr.
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 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 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
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)
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, the Billie run club, game nights, and more, powered by our Formula Fun Team!
- Great office space at Checkpoint Charlie with free gym access, barista coffee, drinks and more
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.
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Data Engineer - Kafka (w/m/d) Arbeitgeber: Billie GmbH

Kontaktperson:
Billie GmbH HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Data Engineer - Kafka (w/m/d)
✨Tip Number 1
Familiarize yourself with Kafka and other event-driven systems. Since Billie emphasizes the use of streaming frameworks, showcasing your hands-on experience or projects involving Kafka can set you apart.
✨Tip Number 2
Highlight your experience with cloud platforms like AWS or GCP. Billie values cloud-based analytical data management, so demonstrating your proficiency in these areas will resonate well with the team.
✨Tip Number 3
Prepare to discuss your approach to problem-solving and solution design. Billie is looking for someone who enjoys structuring problems, so be ready to share examples of how you've tackled challenges in past projects.
✨Tip Number 4
Engage with the Billie community on platforms like LinkedIn or GitHub. Building connections and showing your enthusiasm for their mission can help you stand out as a candidate who is genuinely interested in joining their team.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Data Engineer - Kafka (w/m/d)
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure to thoroughly read the job description for the Data Engineer position at Billie. Understand the key responsibilities and required skills, especially around data infrastructure and programming languages like Python or Kotlin.
Tailor Your CV: Customize your CV to highlight relevant experience in backend systems, data platforms, and any specific technologies mentioned in the job description, such as Kafka or cloud platforms. Use keywords from the job listing to make your application stand out.
Craft a Compelling Cover Letter: Write a cover letter that reflects your passion for data engineering and your alignment with Billie's mission. Discuss how your previous experiences have prepared you for this role and how you can contribute to their innovative solutions.
Showcase Problem-Solving Skills: In your application, provide examples of how you've approached problem statements in the past. Highlight your ability to structure discussions and design solutions, as this is a key aspect of the role at Billie.
Wie du dich auf ein Vorstellungsgespräch bei Billie GmbH vorbereitest
✨Show Your Technical Skills
Be prepared to discuss your experience with backend systems and data platforms. Highlight your proficiency in programming languages like Python or Kotlin, and be ready to demonstrate your understanding of SQL and event-driven systems such as Kafka.
✨Understand Billie’s Mission
Familiarize yourself with Billie’s mission to simplify the purchasing experience for businesses. Be ready to discuss how your skills can contribute to their goal of creating innovative digital payment services and enhancing data-driven decision-making.
✨Prepare for Problem-Solving Discussions
Expect to engage in discussions about problem statements and solution designs. Practice structuring problems and articulating your thought process clearly, as this will showcase your analytical skills and ability to collaborate with cross-functional teams.
✨Emphasize Quality and Compliance
Demonstrate your commitment to maintaining high standards of quality and compliance with data privacy regulations. Discuss any previous experiences where you implemented best practices in monitoring, testing, and alerting systems to ensure system reliability.