Data Engineer – Fintech

Hypoport SE

. Build and continuously develop a domain-specific data foundation for the installment lending business .

Posted 10/23/2026full-timeRemote • GermanyMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and operating data pipelines and models, with a strong focus on data quality and compliance in the installment lending business. Proficient in SQL, Python, and tools like dbt and Airflow to develop scalable data solutions for analytics and AI applications.

Highest-signal resume keywords

Data Pipeline DevelopmentSQL ProficiencyPython ProgrammingExperience With dbtGDPR Compliance Knowledge

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingData TransformationData OrchestrationData TestingData Quality AssuranceAnalytics EngineeringData Product DevelopmentData MonitoringData Structure DesignData Availability Management

Soft Skills

Independent InitiativeCross-Team CoordinationComplex Process Familiarity

Tools & Technologies

DbtAirflowSQLPython

Industry Keywords

Installment LendingData ProtectionGDPRSensitive Data HandlingData Access Control

Tech Stack

Tools & technologies

AirflowPythonSQL

About the role

Key responsibilities & impact

Build and continuously develop a domain-specific data foundation for the installment lending business
Develop scalable data pipelines and model reliable data structures, e.g. using dbt
Combine data from different sources and identify technical and business 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, taking data protection, GDPR, sensitive financial data, and secure data access into account
Work closely with Product, Engineering, Data Analysts, and Data Scientists
Translate requirements into scalable data solutions
Take end-to-end ownership of data products, from modeling and implementation through to stable operations
Independently prioritize and drive initiatives, coordinating across teams where necessary

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 transformation, orchestration, and testing
Experience working with existing system landscapes and managing business, technical, and organizational dependencies
Ability to familiarize yourself with complex processes in the installment lending business
Experience with testing, monitoring, plausibility checks, or other mechanisms for ensuring consistent and reliable data
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 the responsible handling of sensitive data in a regulated environment
Data product mindset: consistent, understandable, reusable, and reliable data
German language skills at least at C1 level, both written and spoken

Benefits

Comp & perks

Flexible working hours
Fully remote / 100% remote work possible throughout Germany
Self-organization and a holacratic way of working without traditional hierarchies
Modern hardware
Ergonomic office equipment
Fitness area
Free drinks, fruit, and snacks
Agile way of working
Teamwork with friendly colleagues
Mutual respect and appreciation
Cross-functional collaboration on an equal footing
No dress code / Come as you are