Nordic streaming and TV broadcaster scaling data and security infrastructure
Viaplay Group operates a multi-country streaming platform and broadcast network across Nordic markets, the Netherlands, and Poland. The tech stack spans iOS/tvOS native development (Swift, UIKit, SwiftUI) paired with backend infrastructure on AWS and Azure, data platforms (Databricks, PySpark, Spark, Airflow, Meltano), and identity/security tooling (Entra, Defender, Purview). Hiring velocity is accelerating with emphasis on senior engineers and data specialists, while active projects signal a push toward zero-trust security, legacy modernization, and data pipeline reliability — suggesting investment in operational resilience as the streaming footprint scales.
Viaplay Group is a publicly listed (Nasdaq Stockholm) entertainment company serving the Nordic region with a core streaming service (Viaplay), broadcast TV channels, and radio operations in Norway and Sweden. The platform distributes premium live sports, films, series, and music across seven countries, with branded content available through partner platforms globally. The organization spans 1,001–5,000 employees and runs a mixed tech environment: native mobile apps on iOS/tvOS, cloud infrastructure on AWS and Azure, and data systems built on Databricks and Apache Spark. Current operational focus includes modernizing legacy commerce and broadcast systems, scaling data pipelines, and hardening security posture.
iOS/tvOS and Swift for mobile, Node.js and Rust for backend services, AWS and Azure for cloud infrastructure, PostgreSQL and SQL Server for databases, and Databricks with Apache Spark for data pipelines. Security tooling includes Microsoft Entra, Defender, and Purview.
Active projects include zero-trust security controls, navigation and discovery in streaming apps, legacy commerce platform modernization, ad sales data infrastructure and reporting, incident management practices, and scalable batch/streaming data pipelines on Databricks.
Viaplay Group's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.