As a Data Engineer, you design, build and maintain reliable data solutions that ensure secure, efficient and scalable data flows across the organization
Job Summary
As a Data Engineer, you design, build and maintain reliable data solutions that ensure secure, efficient and scalable data flows across the organization.
Your responsibilities include evaluating data sources, flows and tools to identify gaps and recommend optimal solutions for analytics and data science needs.
ING offers growth opportunities through upskilling/reskilling programs and multiple learning platforms, as well as a hybrid way of working with flexible scheduling.
Matching Summary
As a Data Engineer, you design, build and maintain reliable data solutions that ensure secure, efficient and scalable data flows across the organization.
Skills & Requirements
Must-have
Python for data processing
SQL for data extraction
Data pipeline development
Database design and optimization
Operating systems (Windows/Linux)
Networking concepts for data transfer
Data privacy and security procedures
Nice-to-have
Agile environment
Data-driven strategy
Curiosity and continuous learning
Customer-centric approach
Team-oriented attitude
Key Requirements
1-3 years of experience as a Data Engineer
Bachelor’s degree in IT, Computer Science, Cybernetics, Automation or related
Hands-on experience with Python
Solid experience working with SQL
Experience delivering data pipelines and ML-enabled use cases
Practical experience with Windows and/or Linux environments
Basic understanding of data modeling
Basic understanding of networking and security concepts