Build the platform that powers data and AI at Telenet

At Telenet, data & analytics help us improve every part of our business and get closer to our customers. One data organization, with a clear vision & strategy to build high-quality data assets, innovative AI products and strong insight cases together with the business teams.

The Data Platform & Architecture team brings together data architects and cloud data platform engineers, combining solution design with hands-on engineering. We build and operate the state-of-the-art Data & AI platform that powers these data and AI capabilities across Telenet. We are looking for a Senior Cloud Data & AI Platform Engineer to join us.

Your responsibilities as a Cloud Data & AI Platform Engineer

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.

Our ideal Cloud Data & AI Platform Engineer

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.

Our offer to you

At Telenet group, you get more than just an attractive gross salary. We strongly believe in results and ownership: we give trust but also expect commitment and impact. What you achieve truly matters.

In addition to a thirteenth-month salary and holiday pay, you can count on an extensive package of extra benefits that supports you in your daily life as well as at work.

An overview of our benefits:

Mobility budget: compose your own mobility plan, you can opt for a company car or alternative mobility solutions
Meal vouchers and eco vouchers
Mobile phone, mobile subscription, laptop, and employee discounts
Collective bonus and individual bonus (aligned with your performance)
Hospitalization insurance (including an ambulatory plan) and group insurance
20 days of paid leave and 12 compensatory days off

We value your ongoing development, investing in growth via our internal learning platform, coaching, and on-the-job training. You will have opportunities to keep learning and further strengthen yourself in your role.

We also prefer working closely together. We believe strong teams form by frequent interactions and quick transitions. To facilitate a smooth onboarding and rapid integration for new employees, we expect you to be present in the office at least three days a week during the first six months. On other days, you can work remotely from home. 

What happens after you apply?
Do you see a match with our position? Then we look forward to receiving your application. We always get back to you. When there’s a match, we will reach out to you to get acquainted and explain the next steps in our selection process.

Cloud Data & AI Platform Engineer

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