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Knowit Tech Stack

Nordic digital consultancy spanning design, data platforms, and embedded systems

IT Services and IT Consulting Stockholm, Stockholm County 1,001–5,000 employees Public Company

Knowit is a 3,900-person Nordic consultancy operating across Sweden, Norway, Denmark, Finland, Germany, and Poland. The tech stack reveals two distinct operating modes: a mature Microsoft/.NET/Azure practice (C#, Active Directory, Entra ID) layered with a newer data-engineering capability (Databricks, Delta Lake, dbt, Apache Spark, Snowflake adoption). Active projects span ML implementation, autonomous vehicle validation, 5G signal processing, and Oracle EBS modernization—a breadth that explains the senior-heavy hiring (82 of 127 open roles at senior level) and the stated pain around legacy platform modernization and data migration complexity.

Tech Stack 200 technologies

Core StackC# Python Terraform AWS Docker React TypeScript Databricks Apache Spark Delta Lake Unity Catalog dbt Apache Airflow .NET Optimizely Kubernetes Jira Active Directory Java Azure Entra ID MSAL OAuth 2.0 Apache Pulsar Azure Umbraco Azure Storage Azure Service Bus Azure Cognitive Search PowerShell HTML5+170 more

What Knowit Is Building

Challenges

  • Modernizing legacy platforms
  • Secure lakehouse solutions
  • Data migration challenges
  • Maintaining legacy oracle ebs solutions
  • Developing simulation environments for adas
  • Validating autonomous functions before deployment
  • Optimizing project workflow
  • Complex data management challenges
  • Investment to business impact
  • High demand from customers

Active Projects

  • Machine learning solution implementation
  • Scalable data platform based on databricks and lakehouse architecture
  • Internal product for graphic designers and virtual decorators
  • High-performance phy layer software for 5g nr systems
  • 5g nr phy layer signal processing optimization
  • Oracle ebs integration with oic
  • Oracle ebs customization
  • Simulation environment for autonomous driving
  • Adas and autonomous heavy vehicle development
  • Verification strategy development

Hiring Activity

Accelerating130 roles · 70 in 30d

Department

Engineering
85
Data
20
Consulting
6
Security
4
Ops
3
Sales
3
Design
2
Product
2

Seniority

Senior
82
Mid
41
Junior
2
Director
1
Intern
1
Lead
1
Manager
1

Notable leadership hires: Management Consultant Lead, Business Unit Director, Tech Lead

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About Knowit

Knowit delivers digital transformation, IT development, and management consulting across four business lines: Solutions, Experience, Connectivity, and Insight. The client base spans mid-market and enterprise buyers across Nordics and continental Europe. Core capabilities include application development (C#/.NET, Azure), business intelligence and data engineering (Databricks, Snowflake, dbt), system integration (Oracle, Optimizely, EpiServer), and embedded systems (5G, autonomous vehicle testing). The consultancy is structured to blend design, strategy, and technical delivery; current hiring velocity is accelerating, with 70 of 129 open roles posted in the last 30 days, concentrated in engineering and data functions.

HeadquartersStockholm, Stockholm County
Company Size1,001–5,000 employees
Hiring MarketsSweden, Norway, Finland, Poland

Frequently Asked Questions

What tech stack does Knowit use?

Primary stack: C#, Python, .NET, Azure (cloud), Databricks (data), dbt (transformation), React/TypeScript (frontend). Actively adopting Snowflake, Power BI, Terraform, GCP, Docker, AWS. Also uses Oracle, Umbraco, Optimizely, Kubernetes, Apache Airflow, Apache Spark.

What is Knowit working on?

Projects include machine learning implementation, Databricks-based data platforms, 5G NR signal processing, autonomous vehicle simulation and validation, Oracle EBS integration and modernization, and internal design tools. Major pain points are legacy platform modernization, secure lakehouse architecture, and data migration complexity.

How this profile is built

Knowit'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.