Data Engineer to Kreditz
Core
Building, evolving, and maintaining a scalable, reliable, and high-performing data platform that turns raw bank transactions into real-time insights for credit and risk decisions.
Role type
Data Engineer (Data Infrastructure)
Builds
Scalable data warehouse, ETL/ELT pipelines, and self-service data environments
Domain
FinTech / Banking / Data Engineering
Deliverable
production ML models | infrastructure
Required skills
SQL, Python, AWS (Redshift, S3, Glue, Lambda), Data Warehousing (Star Schema, Kimball), Orchestration (Airflow, Dagster), CI/CD (GitHub Actions)
Preferred skills
Infrastructure as Code (Terraform), FinTech/Open Banking experience, BI tools (QuickSight, PowerBI)
Responsibilities
Maintain and enhance Data Warehouse architecture for scalability and cost-efficiency; Design and build robust ETL/ELT pipelines within the AWS ecosystem; Automate internal reporting and create self-service data environments; Manage AWS services including Glue, Redshift, Athena, and Lambda; Implement monitoring and validation frameworks to ensure data integrity; Collaborate with DevOps and Backend teams to align infrastructure
Seniority
Mid-Senior, hands-on IC
