Data Platform Engineer

Must Have At least 2 years of experience with one or more cloud service providers such as Azure, AWS, GCP, or a similar system. At least 2 years of experience with the cloud-native ecosystem, containers, Kubernetes, etc. Basic proficiency in building and deploying with some of the technologies: Helm, Terraform Ability to work collaboratively with the team and independently on assigned tasks. Software developer experience at least 2-3 Years Good To Have Familiarity with on ensuring efficiency, stability, observability and reliability in system operations. Experience with Data Lake architecture Python knowledge Cost and security-aware cloud development mindset Airflow maintanance Databricks, Spark Your Tasks As a Data Platform Engineer, you will be responsible for the following tasks: Building and maintaining scalable data platform infrastructure using Kubernetes, Terraform, and Helm. Operating and improving our Apache Airflow environment — ensuring reliability, performance, and smooth upgrades. Supporting and evolving our Data Lake architecture. Managing and optimizing Databricks environments. Maintaining and extending our DataHub for metadata management, data discovery, and lineage tracking. Developing with Python to build platform tooling, automation, and integrations. Applying a cost and security-aware mindset when designing and operating cloud infrastructure. Supporting and assisting data teams with technical requests and platform onboarding. Participating in scaling and performance optimization efforts by identifying bottlenecks and suggesting solutions across the data stack. Working with our technical stack: Kubernetes, Python, Azure, AWS, Terraform, Helm, Airflow, Databricks, DataHub, DBT, Grafana Stack, ArgoCD About us RTL started in 1989 as the first commercial broadcaster in the Netherlands. Our mission has not changed since then: we want to reach and inspire everyone in the Netherlands with essential stories that touch the heart and mind. RTL has five tele