As a Senior Big Data Engineer at VodafoneZiggo, you build cloud-native, 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 will 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:
- set the technical direction of data solutions for your squad, chapter and tribe;
- contribute to reusable standards and patterns for the data products built within the Big Data Engineering chapter;
- bring in engineering best practices beyond testing, CI/CD, Infrastructure as Code, code reviews and automation;
- 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 and/or AI application platforms;
- improve observability, monitoring, security and access management;
- troubleshoot production issues and improve operational stability.
What you bring
As a senior Big Data Engineer, you have a long proven track-record in guiding technical direction for teams and projects, as well as coaching junior and medior engineers.
You challenge and improve engineering standards and you design, build and operate secure, observable, maintainable and scalable production systems to help reduce dependency on external expertise by building internal capability.
You've got what it takes:
- Strong software engineering mindset and way of working with experience in sharing this mindset with a team.
- Expert level experience with Python or another modern programming language.
- Hands-on experience with multiple of the following domains: data engineering, cloud engineering, data streaming or GenAI.
- Ability to write clean, maintainable and testable code.
- Curiosity and willingness to learn new technologies.
- Excellent communication skills and ability to work in cross-functional teams.
- Ownership mindset: you like to own solutions from idea to production.
- Based in the Netherlands and available to work from our Utrecht Central Office two days per week.