Mid-Level Data Engineer, Billie
Streaming Focus
+ Virtual Shares Incentive Programs
2-3 days a week in office
Buy Now, Pay Later payments for business
Job no longer available
Buy Now, Pay Later payments for business
101-200 employees
Job no longer available
+ Virtual Shares Incentive Programs
2-3 days a week in office
101-200 employees
Company mission
To simplify purchasing for all companies and open up new opportunities for growth.
Role
Who you are
- 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
Desirable
- 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 the job involves
- 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
- 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)
Our take
Buy Now, Pay Later(BNPL) options have exploded in popularity in recent years, with companies such as Klarna and Clearpay providing an additional line of credit to customers allowing them to split the cost of their purchases over several installments. Billie is a BNPL built for business transactions, using machine-learning driven risk models to responsibly finance B2B purchases.
With over 100,00 customers processing more than €750 million on its platform, Billie does not face much competition in its market. While BNPL firms like Afterpay and Klarna could theoretically move into the B2B space, they are specialised in B2C financing and lack Billie's data on the B2B sector. Billie also boasts a range of features designed specifically for intra-company sales such as instant verification, invoicing tools and business payment options which give it a large advantage against any new rivals.
Billie has raised a significant amount of funding from investors, most recently in a 2021 Series C round. Additionally Its 2022 integration with Klarna, allowing companies with a Klarna installation to swiftly switch over to Billie's payment options for B2B sales has removed a major roadblock to its future expansion. This move, alongside its entrance into more markets in Europe, will likely speed the company's ascension to Unicorn status and solidify its market lead in the BNPL space.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
1% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Oct 2021
$100m
SERIES C
Jul 2019
$33.9m
SERIES B
Total funding: $149.2m
Company benefits
- Flexibility first: We come to the office for important events, but do not have a permanent office presence. Our teams decide how to get the best results
- 30 days vacation per year and 5 extra paid days to look after sick children
- Virtual Share Program
- German language courses from different language levels free of charge
- One-off relocation bonus to make your move easier
- Reimbursement of travel expenses and discount on local public transport in Berlin with the BVG
- Individual training budget of 1,000 euros for courses, conferences and more every year
- Free gym access, weekly yoga classes, healthy snacks, cereals, drinks and more
Company HQ
Kreuzberg, Berlin, Germany
Leadership
Aiga Senftleben
(General Counsel)Previously worked on the Legal Counsel at eBay and Paypal. Also worked at Funding Circle Deutschland as a General Counsel and is now a member of the Digital Finance Forum at the Federal Ministry of Finance (Germany)
Christian Grobe
(MD)Graduated from the Free University of Berlin with a Ph.D. in Political Science. Previously co-founded Funding Circle/Zencap where they served as the Managing Director. Also Worked as an Engagement Manager at McKinsey & Company.
Dr. Matthias Knecht
(Co-CEO)Previously co-founded Funding Cirlce/Zencap where they served as Managing Director. Also worked as an Engagement Manager at McKinsey & Company.
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