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# JR Big Data Engineer

- **Company:** VodafoneZiggo
- **Location:** Utrecht, Netherlands
- **Experience:** Starter
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Big Data, Cloud Computing, Cloud Engineering, Code Review, Continuous Integration, Information Engineering, Identity and Access Management, Python (Programming Language), Cloud Services, Search Technologies, Software Engineering, Data Streaming, Large Language Models, Generative AI, Backend, Infrastructure Automation Frameworks, Data Pipelines, Programming Languages
- **Published:** August 12, 2026
- **Apply:** https://nl.indeed.com/viewjob?jk=1db0a89a00d82368

## About the Role

* Strong software engineering mindset.
 * Experience with Python or another modern programming language.
 * Interest in data engineering, cloud engineering, streaming or GenAI.
 * Ability to write clean, maintainable and testable code.
 * Curiosity and willingness to learn new technologies.
 * Good communication skills and ability to work in cross-functional teams.
 * Ownership mindset: you like to bring solutions from idea to production.
 * Based in the Netherlands and available to work from our Utrecht Central Office two days per week.

## Description

As a Junior Big Data Engineer at VodafoneZiggo, you build scalable data products and AI-powered solutions used across the organisation. Depending on your background and ambition, you work on GenAI applications, cloud data platforms, real-time streaming, or large-scale data processing on AWS. You do not need to be an expert in every technology listed below. We are looking for strong engineers with depth in one area and the curiosity to grow across others.

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

What you do

Depending on your experience and team placement, you:

 * 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, Infrastructure as Code, code reviews and automation;
 * contribute to reusable standards and patterns within the Big Data Engineering chapter.


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