
Data Engineer – Fintech
Posted 2 days ago

Posted 2 days ago
This is a fully remote position, open to applicants in Germany.
• Create a robust and scalable data foundation for the installment lending sector.
• Design and implement scalable data pipelines while modeling dependable data structures, utilizing tools such as dbt.
• Integrate data from various sources and recognize technical dependencies.
• Prepare data for analytics, reporting, and AI applications.
• Develop reliable and reusable data products.
• Structure and deliver data for AI and automation scenarios, considering data protection, GDPR compliance, sensitive financial data, and secure access protocols.
• Collaborate effectively with Product, Engineering, Data Analysts, and Data Scientists.
• Convert business requirements into scalable data solutions.
• Assume full responsibility for data products, overseeing everything from modeling and implementation to stable operations.
• Independently prioritize and advance initiatives through coordination across teams.
• Several years of experience in building and maintaining data pipelines, data models, or analytics engineering solutions in production settings.
• Hands-on experience with SQL and Python.
• Familiarity with dbt and Airflow.
• Knowledge of transformation, orchestration, and testing processes.
• Experience navigating existing system landscapes while managing business, technical, and organizational dependencies.
• Capability to understand complex processes within the installment lending sector.
• Experience in testing, monitoring, data validation, or other methods to ensure consistent and reliable data.
• Awareness of the data quality, structure, and availability needs for AI and automation applications.
• Ideally, experience with data protection regulations, such as GDPR, access-control principles, and handling sensitive data in regulated environments.
• A data product-oriented mindset that emphasizes consistency, clarity, reusability, and reliability.
• Proficiency in German at C1 level or higher, both written and verbal.
• Flexible working hours.
• Fully remote work options / 100% remote possible.
• Self-management in a holacratic organization without conventional hierarchies.
• Collaborative, cross-functional teamwork on an equal basis.
• Adoption of agile methodologies.
• Modern hardware provided.
• Ergonomic office furnishings.
• Access to fitness facilities.
• Complimentary drinks, fruit, and snacks.
• No formal dress code.
• Collaborative environment with friendly colleagues.
• An atmosphere of mutual respect and appreciation.
• A strong emphasis on interpersonal skills within the workplace.
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