Senior Data & Analytics Engineer

ING

ING's Global Financial Crime and Fraud Prevention unit is on the frontline of fight against financial crime. The team consists of dedicated Data Engineers, Machine Learning Engineers, and Data Scientists. Your role will drive the creation of cutting-edge analytical applications aimed to protect customers globally.

In this role you can expect to have the responsibilities:

• Develop ETL data pipelines using PySpark for large-scale analytical solutions.
• Deploy and integrate machine learning models into critical anti-money laundering applications.
• Design cloud-native solutions utilizing Python.
• Mentor team members to enhance engineering culture.

This role comes with the following benefits:

• Competitive base salary tailored to skills and experience.
• 24-27 vacation days based on the contract.
• Comprehensive pension scheme.
• 13th month salary bonus.
• Individual Savings Contribution.
• 8% holiday payment.
• Hybrid working environment.
• Opportunities for personal growth and challenging work.
• Innovative and informal work atmosphere.

This role requires you to have:

• Expertise in Python and test-driven development.
• Hands-on experience with PySpark.
• Solid understanding of AI/ML technology and the Model Development Lifecycle.
• Strong communication and teamwork skills.

You would benefit from having:

• Experience in coaching and leading other engineers.
• Familiarity with cloud-native solutions and implementations.

ING values a diverse and supportive culture with a focus on integrity and customer-centric services. They promote a balance between career and private life through flexible working arrangements.