Data Engineer (w/m/d)

Billie

Billie, a leader in BNPL payment methods for B2B companies, seeks a Data Engineer to enhance their machine-learning-supported risk models and tech platform. The role focuses on simplifying the purchasing experience for businesses, working within a deep-tech company that prioritizes automation and scalable solutions.

In this role you can expect to have the responsibilities:

• Design and manage data infrastructure for decision systems.
• Collaborate with stakeholders to align projects with business priorities.
• Participate in architectural discussions and ensure system compliance with quality standards.
• Maintain system reliability through best practices and monitoring.
• Ensure compliance with data privacy regulations and industry standards.

This role comes with the following benefits:

• Engaging work fostering personal and professional growth.
• Virtual Shares Incentive Program for employee investment.
• Flexible working hours with a hybrid approach.
• 30 vacation days plus paid public holidays and extra leave benefits.
• Discounted transportation access.
• Annual learning and development budget.
• Free language classes and a multicultural team environment.
• Company events and social activities.
• Modern office space with free gym and refreshments.

This role requires you to have:

• Experience as a data engineer or software developer in backend systems and data platforms.
• Proficiency in at least one programming language and adaptability with SQL.
• Problem-solving and solution design skills.
• Ability to deploy and manage own codebase.

You would benefit from having:

• Proficiency in Python or JVM-based languages (Java, Scala, Kotlin).
• Experience with event-driven systems or streaming frameworks.
• Familiarity with cloud-based analytical data warehouses.
• Experience managing cloud platforms.
• Knowledge of integrating machine learning models in production.
• Familiarity with data orchestration and transformation tools.

Billie is committed to diversity and inclusion, creating a workplace environment that values talent from diverse backgrounds, without discrimination.