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Data Engineer – Fintech
Hypoport SE. Build and continuously enhance a domain-specific data foundation for the installment-loan business .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and operating data pipelines and models, with a strong focus on data quality and compliance with regulations such as GDPR. Proficient in translating complex business requirements into scalable data solutions while collaborating effectively across teams.
Highest-signal resume keywords
SQLPythonDbtAirflowData Protection (GDPR)
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data Pipeline DevelopmentData ModelingData TransformationData Quality AssuranceAnalytics Engineering
Soft Skills
CollaborationIndependent PrioritizationCross-Team Initiative Driving
Tools & Technologies
DbtAirflow
Industry Keywords
Installment-Loan BusinessData Access PrinciplesSensitive Financial DataData Product MindsetData Orchestration
Tech Stack
Tools & technologiesAirflowPythonSQL
About the role
Key responsibilities & impact- Build and continuously enhance a domain-specific data foundation for the installment-loan business
- Develop scalable data pipelines and reliable data structures, for example using dbt
- Consolidate data from different sources and identify and manage dependencies
- Prepare data for reporting, analytics, and AI applications
- Develop reusable and reliable data products
- Structure and provide data for AI and automation use cases while adhering to data protection requirements, the GDPR, sensitive financial-data regulations, and secure data-access principles
- Collaborate with Product, Engineering, Data Analysts, and Data Scientists
- Translate business requirements into scalable data solutions
- Take end-to-end ownership of data products, from modeling and implementation through stable operation
- Independently prioritize and drive cross-team initiatives
Requirements
What you’ll need- Several years of experience building and operating data pipelines, data models, or analytics-engineering solutions in production environments
- Hands-on experience with SQL and Python
- Experience with dbt and Airflow
- Knowledge of data transformation, orchestration, and testing
- Experience working with existing system landscapes and managing business, technical, and organizational dependencies
- Ability to understand complex processes in the installment-loan business and translate requirements into data models
- Experience with testing, monitoring, plausibility checks, or comparable mechanisms for ensuring data quality
- Understanding of the data-quality, structure, and availability requirements of AI and automation applications
- Ideally, experience with data protection (e.g., GDPR), access-control concepts, and sensitive data in regulated environments
- Data-product mindset
- German language skills at least at C1 level, both written and spoken
Benefits
Comp & perks- Flexible working hours
- Fully remote work, with 100% remote work possible anywhere in Germany
- Holacratic self-organization without traditional hierarchies
- Modern hardware
- Ergonomic office equipment
- Fitness area
- Free drinks, fruit, and snacks
- Agile way of working
- Equal-footing teamwork
- Mutual respect and appreciation
- No dress code — come as you are