Intern Data Engineering (Lighthouse squad)

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profile Job Location:

Amsterdam - Netherlands

profile Monthly Salary: Not Disclosed
Posted on: Yesterday
Vacancies: 1 Vacancy

Job Summary

As an internin Data & Analytics Engineering team you will supportING Analytics department with migrating from INGs private cloud (IPC) to public cloud (GCP)in order toenable our Gen-AI and agentic AI use cases.Theaim of thisgraduate internship is tohavequantitativecomparison of different tools and processing frameworks that are available in Google Cloud todeterminewhich one isoptimalfor migrationin terms of resource usagescalabilityand maintainability.

The team
The Lighthouse squad is integral to the ING Analytics department tech strategy as it owns many of the core data assets that are used by the Wholesale Banking products. The data assets we produce are currently processedonINGs in-house built Data Analytics Platform whichoperatesusingopen-sourcetechnologies.

Key Responsibilities

  • Research different approaches available on GCP for data processing.
  • Compare GCP Orchestration Services (Cloud Run Jobs Vertex Pipelines/KubeFlowCloud Composer/Airflow).
  • Compare data processing frameworks (Polars Sparkdbt).
  • Compare storage systems (Big Query Cloud SQL).
  • Test the different approaches on isolated deployment environments (TST/ACC/PROD) while collecting metrics on resource usage (compute storage cost) and efficiency (duration).
  • Collaboratewith the teamondecidingthe architectural approaches that should be consideredfortargetsolution.
  • Document the results and propose a target solution.
  • Present your findings inData& Analytics Engineering department meeting.

Qualifications:

  • Currently pursuing a degree inComputer Science Artificial Intelligence Mathematicsor a related field.
  • Strong analytical and quantitative skills.
  • Basic knowledge of Python programming.
  • Interest indata and AI engineering.
  • Excellent communication skills and attention to detail.
  • Ability to work in a fast-paced team-oriented environment.

What We Offer:

A dynamic and international environment.As part of the Data & Analytics Engineering team you will collaborate within a cross-functional group responsible for end-to-end delivery and ownership contributing in an Agile manner throughout the application lifecycle.

Hands-on experience indata & AI engineering in our global analytics department.

Exposure to senior professionals and industry leaders.

Introduction todata engineering concepts and latest technologies in GCP.

Rewards and benefits

This is a great opportunity to train with highly skilled people who are experts in their field. Youll do a lot and learn a lot not only about your specialist area and the bank but also about yourself and whether this type of environment is right for you.

Youll also benefit from:

  • Internship allowance of 700 EUR based on a 36 hours work week

  • Your own work laptop

  • Hybrid working to blend home working for focus and office working for collaboration and co-creation

  • Personal growth and challenging work with endless possibilities

  • An informal working environment with innovative colleagues

During the duration of your internship at ING it is mandatory to be enrolled at a Dutch university (or EU-university for EU passport holders).

Questions
Contact the recruiter attached to the advertisement. Want to apply directly Please upload your CV and motivation letter by clicking the Apply button.

About our internships

Every year more than 350 students join our internship program. While there are no guarantees about your future many of our former interns move into a permanent role or onto our International Talent Programme (traineeship).

Whatever happens an internship at ING is the ideal opportunity to meet a wide variety of people to build up your own network and to learn about many different aspects of banking put simply its a great start to your career.


Required Experience:

Intern

As an internin Data & Analytics Engineering team you will supportING Analytics department with migrating from INGs private cloud (IPC) to public cloud (GCP)in order toenable our Gen-AI and agentic AI use cases.Theaim of thisgraduate internship is tohavequantitativecomparison of different tools and p...
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