Data Engineer, Billie
Kafka
+ Virtual Shares Incentive Programs
More information about location
2-5 days a week in office
Buy Now, Pay Later payments for business
Be an early applicant
Buy Now, Pay Later payments for business
101-200 employees
Be an early applicant
+ Virtual Shares Incentive Programs
More information about location
2-5 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
- 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
Desirable
- 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 the job involves
- 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
- 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
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
Few candidates hear
back within 2 weeks
1% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Oct 2021
$100m
SERIES C
Jul 2019
$31.3m
SERIES B
Total funding: $145.4m
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 values
- We are pioneers
- We want to make a difference
- We focus on people
Company HQ
Kreuzberg, Berlin, Germany
Articles
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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