Data Engineer (m/w/d) (Mid-Senior)
Core
Designing and building modern data pipelines for clients in the financial sector, from concept to production operation.
Role type
Mid-Senior Data Engineer
Builds
Data pipelines and Data-Warehouse architectures for financial institutions
Domain
Financial services, Regulatory reporting, Data Architecture
Deliverable
production ML models | product features | dashboards & analysis
Required skills
ETL/ELT with dbt, Snowflake warehousing, CI/CD pipelines, Orchestration tools (Airflow/Dagster/Prefect), SQL, Python, Git
Preferred skills
Experience in regulated environments (banks/insurance), Regulatory frameworks (MaRisk/BAIT/DORA), Infrastructure-as-Code (Terraform/Pulumi), Container technologies
Technologies
Snowflake, dbt, GitLab CI, GitHub Actions, Azure DevOps, Airflow, Dagster, Prefect, Python, SQL
Responsibilities
Design and build data pipelines for financial clients, Develop and optimize Data-Warehouse architectures, Model and transform data with dbt following best practices, Automate deployments and testing via CI/CD, Define internal Data Engineering standards and methods
Seniority
Mid-Senior, hands-on IC
