Key skills
AirflowAzurePySparkPythonAIMLflowData EngineeringCI/CDCollaboration
About this role
Role Overview
- Build and deploy production-ready data solutions supporting sanctions controls across the bank
- Design, build and deploy production-grade data and AI solutions as a DevOps Engineer
- Ensure secure, compliant and future-proof implementations across the full data lifecycle
- Work closely with data scientists and engineers to translate ideas into production-ready solutions
- Ensure stable and scalable deployment pipelines by building and maintaining CI/CD processes
- Drive collaboration with data scientists and stakeholders to translate analytical models into production environments
- Improve data quality, performance and architecture by identifying issues and implementing enhancements
Requirements
- HBO/WO work and thinking level with 5+ years DevOps or Data Engineering experience
- 5+ years experience deploying models in regulated environments using Azure and CI/CD pipelines
- Strong programming experience in Python and PySpark and workflow tools such as Airflow or MLflow
- Proactive mindset
- Strong sense of ownership
- Collaborative skills
Tech Stack
- Airflow
- Azure
- PySpark
- Python
Benefits
- Thirteenth month's salary and 8% holiday allowance
- 10% Employee Benefit Budget
- EUR 1,400 development budget per year
- Hybrid working: balance between home and office work
- A pension, for which you can set the maximum amount of your personal contribution