Join our team as a Data Engineer and use your skills and curiosity to develop and manage solutions that ensure the flow, migration, and availability of data for business needs. You'll be part of the Analytics Center of Expertise within the Customer Interactions Tribe.
Requirements
- 3-5 years of experience as a Data Engineer
- Hands-on skills with object-oriented and scripting languages like Python, Java, C++, or Scala
- Solid background in data analysis tools (SAS, SQL) and BI platforms
- Experience delivering Machine Learning projects using Spark, Pandas, and NoSQL
- Bachelor's degree in information technology, Computer Science, Cybernetics, Automatic Control & Computers, or a closely related IT field
- Strong knowledge of databases—design, administration, and optimization
- Familiarity with operating systems (Windows and/or Linux), including automation and troubleshooting
- Understanding of networking concepts to ensure secure and efficient data flows
- Data‐driven mindset and digital fluency
- Clear, concise communication across teams
- Ability to create structured, disciplined working processes
- Team player with energy, ambition, and decisiveness
- Self‐motivated, open to new ideas, and constructive in problem‐solving
- Comfortable managing complexity and making sense of large, sometimes contradictory datasets
- Passion for delivery and customer satisfaction, with a “get‐it‐done” attitude and a big‐picture perspective
- English proficiency—above medium level
Benefits
- Impactful work in a fun and collaborative environment
- Open-concept offices designed for both team work and relaxation
- Corporate events and social gatherings
- Hybrid way of working with flexible working schedule and short week options
- Monthly budget on Benefit platform
- Extra annual leave days depending on the total length of working experience
- Growth opportunities through upskilling/ reskilling programs and a variety of learning and development platforms: ING Learning Centre, Udemy, Bookster, as well as through trainings and certifications
- Possibility to access Internal roles, International Short-Term Assignments or Long-Term Assignments
- Context to make an impact through Sustainability and Corporate Social Responsibility projects
