echoloc

RHI Magnesita Tech Stack

Global refractory manufacturer for high-temperature industrial processes

Manufacturing Vienna, Austria 10,001+ employees Public Company

RHI Magnesita supplies refractory ceramics and systems for steel, cement, and glass production at scale—20,000+ employees across 76 production sites in 16 countries. The tech stack is heavily SAP-centric (S/4HANA, BW, Datasphere, Analytics Cloud) paired with Azure cloud and Databricks, signaling a mature ERP foundation layered with modern analytics and infrastructure-as-code (Terraform, Ansible). Active hiring in manufacturing and engineering, combined with projects around predictive analytics and process reliability, suggests the company is automating and optimizing production workflows while expanding geographic footprint.

Tech Stack 117 technologies

Core StackSAP SAP S/4HANA Databricks Power BI JavaScript Node.js Docker Kubernetes Azure DevOps Terraform Ansible VMware Hyper-V LinkedIn Learning Siemens S7-1200 SAP Datasphere SAP Analytics Cloud Azure SAP BW NET Core ARM Templates Chef Windows Server Update Services Windows Deployment Services Remote Desktop Services Microsoft Access Visio Azure Cost Management SAP FI SAP CO+86 more

What RHI Magnesita Is Building

Challenges

  • Ensuring product compliance
  • Ensuring compliance with transfer pricing regulations
  • Ensuring consistency across global operations
  • Workflow issues
  • Improving sales profitability
  • Compliance with canadian employment law
  • Ensuring timely revenue recognition
  • Preventing supply chain delays
  • Expanding business in steel industry
  • Reducing bottlenecks

Active Projects

  • Refractory installation support
  • Critical systems reliability initiatives
  • Predictive analytics implementation
  • Planning and configuring local it infrastructure
  • Process reliability improvement
  • Product trials documentation
  • Trials of new materials and optimize application concepts
  • Workflow optimization projects
  • Local talent management initiatives
  • Full-cycle recruitment for all canadian roles

Hiring Activity

Accelerating140 roles · 95 in 30d

Department

Manufacturing
40
Engineering
35
Ops
17
Sales
16
Logistics
9
Finance
8
Data
3
HR
3

Seniority

Mid
43
Junior
33
Intern
29
Senior
23
Lead
6
Manager
6
Director
1

Notable leadership hires: HSE Lead Coordinator, Chief of Staff

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About RHI Magnesita

RHI Magnesita is the world's largest supplier of refractory products and solutions for industrial processes above 1,200°C. The company operates a vertically integrated supply chain covering raw material extraction, product manufacturing, and performance-based service delivery across steel, cement, non-ferrous metals, and glass industries. With over 20,000 employees, 76 production sites (including recycling), 16 raw material sites, and 70+ sales offices globally, RHI Magnesita maintains geographic and product diversification. The company is listed on the London Stock Exchange (FTSE 250, symbol RHIM) and Vienna Stock Exchange.

HeadquartersVienna, Austria
Company Size10,001+ employees
Hiring MarketsUnited States, Austria, Brazil, South Africa, Japan, Germany, China, Canada

Frequently Asked Questions

What technology does RHI Magnesita use?

Core stack: SAP S/4HANA, SAP Datasphere, SAP Analytics Cloud, Azure, Databricks, Power BI. Infrastructure: Docker, Kubernetes, Terraform, Ansible, VMware, Hyper-V. Currently adopting SAP S/4HANA.

What is RHI Magnesita working on?

Predictive analytics implementation, process reliability improvement, workflow optimization, refractory installation support, local IT infrastructure setup, and talent management across Canadian and other regional operations.

How this profile is built

RHI Magnesita'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.