Data Engineer (m/w/d)
Core
Designing and implementing scalable data models, data structures, and pipelines to ensure a consistent and reliable data foundation for business-critical financial processes.
Role type
Data Engineer (Data Modeling & Integration)
Builds
Scalable data models, data structures, and data pipelines for a Data Lakehouse
Domain
Finance / Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Data modeling, Data integration, SQL, Python, ETL/ELT frameworks, Cloud data platforms (Snowflake, Azure), Data Vault methodology
Preferred skills
dbt, modern data modeling techniques, analytical thinking
Technologies
Snowflake, Azure, dbt, SQL, Python
Responsibilities
Develop and implement scalable data models and data structures; Build and maintain data pipelines and source system integrations; Translate business requirements into robust technical data structures; Contribute to the design and evolution of Data Vault structures; Ensure data quality, consistency, and transparency; Collaborate with business units, BI specialists, and platform teams to establish standards and best practices.