Cloud Data & AI Engineer (AWS) - Hybrid & GenAI

VodafoneZiggo; Utrecht; Hybrid; EUR 90,000 - 140,000; Full time

Job summary

VodafoneZiggo is seeking a Big Data Engineer to help build scalable data products and AI-powered solutions used across the organisation. Depending on your background, you’ll work on GenAI apps, cloud data platforms, real-time streaming, or large-scale data processing on AWS.

You will collaborate with AI Engineers, Data Scientists, Product Owners, platform engineers and business stakeholders to bring data and AI solutions from idea to reliable production use.

Qualifications

• Strong software engineering mindset.
• Experience with Python or another modern programming language.
• Ability to write clean, maintainable and testable code.
• Ownership mindset and ability to bring ideas to production.

Responsibilities

• Design, build and operate data and AI solutions on AWS.
• Develop production-grade data pipelines and backend services.
• Help productionise LLM-powered applications and customer/agent assist solutions.
• Build APIs and cloud infrastructure for data and AI products.
• Work with RAG, vector search, prompt orchestration and AI evaluation patterns.
• Contribute to reliable batch, streaming or AI application platforms.
• Improve observability, monitoring, security and access management.
• Troubleshoot production issues and improve operational stability.
• Apply engineering best practices such as testing, CI/CD, IaC, code reviews and automation.
• Contribute to reusable standards and patterns within the Big Data Engineering chapter.

Skills

Python

Software engineering

Clean code

Cross-functional teamwork

Ownership mindset

Communication skills

Tools

AWS

CI/CD

Infrastructure as Code

Job description

VodafoneZiggo is seeking a Big Data Engineer to help build scalable data products and AI-powered solutions used across the organisation. Depending on your background, you’ll work on GenAI apps, cloud data platforms, real-time streaming, or large-scale data processing on AWS.

You will collaborate with AI Engineers, Data Scientists, Product Owners, platform engineers and business stakeholders to bring data and AI solutions from idea to reliable production use.