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Viaplay Group Tech Stack

Nordic streaming and TV broadcaster scaling data and security infrastructure

Entertainment Providers Stockholm 1,001–5,000 employees Public Company

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.

Tech Stack 62 technologies

Core StackSwift SwiftUI Node.js Rust AWS Python C# PostgreSQL SQL Server Apache Airflow Google Analytics Databricks PySpark Unity Catalog Scala Java Jira Airtable Apache Spark iOS tvOS UIKit Objective-C Swift Concurrency Fastlane Azure Meltano Microsoft Purview Microsoft Defender Microsoft Entra+30 more

What Viaplay Group Is Building

Challenges

  • Protecting against cyber threats
  • Simplifying complex legacy landscape
  • Ensuring seamless 24/7 operational coverage
  • Reducing manual pipeline work
  • Improving pipeline reliability
  • Reducing technical complexity
  • Embedding security best practices
  • It modernisation initiatives
  • Scaling data governance
  • Improving existing data infrastructure

Active Projects

  • Zero trust controls implementation
  • Navigation and discovery features in viaplay apps
  • Developing incident management practices
  • Modernizing legacy commerce platform
  • Ad sales data infrastructure
  • Ad sales reporting pipelines
  • It modernisation and improvement initiatives
  • Editing and publishing sports highlights
  • Maintaining viaplay's social media
  • Scalable batch and streaming data pipelines on databricks

Hiring Activity

Accelerating25 roles · 20 in 30d

Department

Engineering
6
Data
4
Marketing
3
Finance
2
Product
2
Security
2
Broadcast
1
Content
1

Seniority

Senior
9
Mid
8
Junior
2
Manager
2
Intern
1
VP
1
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About Viaplay Group

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.

HeadquartersStockholm
Company Size1,001–5,000 employees
Hiring MarketsSweden, Spain

Frequently Asked Questions

What tech stack does Viaplay Group use?

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.

What is Viaplay Group working on?

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.

How this profile is built

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.