Data Engineer | Analytics @ ING Bank
Core
Design, build, and maintain reliable data solutions ensuring secure, efficient, and scalable data flows across the organization to enable analytics and decision-making.
Role type
Data Engineer
Builds
Data pipelines, data models, and reusable scripts for analytics and data science needs
Domain
Banking / Data Engineering
Deliverable
production ML models | infrastructure
Required skills
Python, SQL, database design, database administration, Linux/Windows automation, networking concepts, data modeling, data privacy procedures
Preferred skills
PySpark, SAS, NoSQL, big data platforms
Technologies
Spark, PySpark, Pandas, NoSQL, Windows, Linux
Responsibilities
Evaluate data sources and tools to identify gaps; analyze and optimize databases and data processes; create reusable scripts and data flows; document data pipelines and technical decisions; manage recurring data processing flows; act as technical contact for IT partners; develop and maintain data privacy and security procedures
Seniority
Junior to Mid-level, hands-on IC
