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:

As a Data Engineering Senior Engineer, you will work along side a team of data engineers in designing, implementing, and maintaining robust data pipelines and infrastructure to support the organisation's data needs. You will collaborate closely with cross-functional teams, including data scientists, analysts, and software engineers, to ensure data processes' availability, reliability, and efficiency. This role requires a deep understanding of data engineering principles, leadership skills, and the ability to drive technical excellence within the team. Also, you will take ownership of the whole data engineering domain and have high autonomy in making decisions and definitions of strategies.

Responsibilities:

Data Infrastructure Management: Manage and maintain data infrastructure components, including databases, data warehouses, data lakes, and related technologies, ensuring high availability, reliability, and performance.
Technical Strategy: Collaborate with stakeholders to define and implement data engineering strategies and roadmaps aligned with business objectives, technology trends, and best practices.
Cross-functional Collaboration: Work closely with data scientists, analysts, software engineers, and other stakeholders to understand data requirements, define data models, and deliver actionable insights to support business decision-making.
Quality Assurance and Monitoring: Establish and maintain data quality standards, implement monitoring and alerting systems to proactively identify issues, and ensure data accuracy, consistency, and integrity.
Compliance and Security: Ensure compliance with data privacy regulations (e.g., GDPR, CCPA) and industry standards, implement data governance policies, and enforce security measures to protect sensitive data assets.

What we offer:

Flexible work hours and trust in your ability to deliver, empowering you to take control of your work-life balance
Hybrid working approach enabling a good balance working from home and the office
One of the best Virtual Shares Incentive Programs in the market, so that everyone at Billie is invested in our success
Our “Catch a Ride with Billie” program, that enables discounted access to Berlin Public Transport (BVG)
A yearly development budget to broaden your skill set and horizons
Free German group classes
An English-speaking, multicultural team with more than 46 nationalities
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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