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# Cloud Data & AI Platform Engineer

- **Company:** Telenet
- **Location:** Mechelen, Belgium (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, Data Analysis, Cloud Database, DevOps, Graph Database, Identity and Access Management, Python (Programming Language), Data Processing, Large Language Models, Snowflake, Apache Spark, Generative AI, Agentic-AI, Gitlab, Build Management, AI Platforms, Kubernetes, Information Technology, Data Management, Api Design, Terraform, Data Pipelines
- **Published:** November 10, 2026
- **Apply:** https://ebza.fa.em2.oraclecloud.com/hcmUI/CandidateExperience/nl/sites/CX/requisitions/preview/6003

## About the Role

* A Bachelor's or Master's degree in computer science or a related field, or equivalent experience.
 * Extensive experience designing and operating production-grade data platforms, with the technical judgment to set direction and guide other engineers.
 * Excellent knowledge of Snowflake, AWS, Terraform and Python.
 * Good knowledge of EMR, EKS (& Kubernetes), Spark and GitLab.
 * Experience with modern schedulers such as Dagster or Airflow.
 * Experience with scalable API development in a demanding production environment.
 * An AI-driven way of working: you use AI tools and agents daily and see them as part of how you engineer.
 * A strong sense of end-to-end ownership, from identifying a need and designing the solution to operating and continuously improving it.
 * Strong communication skills and the confidence to challenge assumptions constructively, align stakeholders and explain technical decisions clearly.
 * A problem-solving mindset.
 * Fluent English.

## Description

In this senior role, you will set technical direction and work hands-on to shape the platform foundations behind Telenet's data, GenAI and Agentic AI ambitions. Your impact will be measured by how securely, efficiently and effectively data teams can deliver at scale. To achieve this, you will take ownership across platform engineering, AI-driven operations, collaboration and innovation.

What you will do:

 * Design and coordinate the implementation of products and services on AWS & Snowflake, from secure storage to compute and purpose-based access management.
 * Create reusable abstractions over the underlying infrastructure so data teams can focus on data processing and the platform can adopt new technologies without requiring a large-scale migration.
 * Build accelerators and frameworks that make the whole tribe more efficient and effective.
 * Safeguard platform continuity through support and standard upgrades, with DevOps that is increasingly agentic.
 * Apply FinOps practices across Snowflake and AWS to improve cost efficiency and transparency, attribute costs to the teams that drive them and continuously identify optimization opportunities.
 * Design and build the platform foundations for Agentic AI, including knowledge graph, context layer and agent platform capabilities, so teams can create agents that work securely with trusted, well-governed data.
 * Design how GenAI capabilities, such as LLMs, are integrated into our data workbench in a structural, secure and scalable way, to support data pipelines, model training and data exploration.

AI-driven DevOps

 * Identify and implement opportunities for agents to automate platform workflows, monitoring, incident follow-up, upgrades, support and cost optimization, with appropriate guardrails and human oversight.
 * Lead by example in using AI and agents in your own engineering work.

Collaboration & innovation

 * Work closely with stakeholders to define the best fit-for-purpose solution and make sure it is adopted.
 * Lead platform and technology innovation by evaluating relevant developments, translating them into concrete platform opportunities and keeping the capability roadmap current in the fast-moving Data & AI landscape.