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Data Engineer SATM
ING

  • Amsterdam, Netherlands
  • Full-time
  • Hybrid
  • No Salary Information Available
Posted 63 days ago

ING, through its ING Analytics division, is driving the digital transformation of banking by delivering exceptional analytics products and services. This includes call and speech analytics, AI in risk summarization, and advanced ESG data insights. The Data Engineer role exists to build and maintain the data infrastructure necessary for developing innovative products and enhancing data initiatives.

In this role you can expect to have the responsibilities:

  • Design and build complex data pipelines processing transactional and other data.
  • Collaborate with data scientists and analysts to maintain data solutions and architecture.
  • Advocate best practices in data engineering.
  • Organize knowledge-sharing sessions on data security, compliance, and privacy standards.
  • Develop data models and pipelines for research, reporting, and machine learning.

This role comes with the following benefits:

  • Tailored salary based on qualities and experience.
  • 24-27 vacation days depending on contract.
  • Pension scheme.
  • 13th month salary.
  • Individual Savings Contribution, 3.5% of gross annual salary.
  • 8% Holiday payment.
  • Hybrid working option for a balance between home and office.
  • Personal growth opportunities with challenging work.
  • Informal working environment with innovative colleagues.

This role requires you to have:

  • Bachelor's degree or equivalent practical experience.
  • Excellent communication skills.
  • Experience building complex data pipelines (e.g., PySpark, Airflow).
  • Proficiency with Python and SQL.
  • Experience in designing data models and using SQL database management systems.
  • Knowledge of software engineering best practices and tools (e.g., CI/CD tools, testing).

You would benefit from having:

  • Curious mindset with a collaborative nature.
  • Experience with deployment and provisioning automation tools.
  • Experience with monitoring and observability (ELK stack).
  • Knowledge of MLOps architecture and practices.
  • Knowledge of data manipulation and transformation.

ING promotes a balance between career and personal life and offers detailed employment conditions to support this.

The content on this page is not written or managed by Alooba. Please reach out to ING directly for any addtional information regarding this role.

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