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Cegeka Tech Stack

Enterprise IT services firm implementing cloud, ERP, and data infrastructure at scale

IT Services and IT Consulting Hasselt, Limburg 5,001–10,000 employees Privately Held

Cegeka is a 5,000+ person IT services firm headquartered in Belgium, delivering infrastructure modernization and ERP implementations across public and private cloud. The tech stack reveals dual competency: deep Microsoft (Power Platform, Dynamics 365, Azure) and polyglot data engineering (Snowflake, Databricks, Atlan, Collibra). Active hiring is 98 roles in the last 30 days with a heavy skew toward senior engineers and data specialists—reflecting their project load of Dynamics 365 implementations, legacy system refactors, and ETL infrastructure builds. BizTalk Server replacement signals infrastructure modernization work for existing clients.

Tech Stack 200 technologies

Core StackPower Platform Collibra Atlan Databricks Snowflake Active Directory Azure AD ServiceNow JavaScript AWS Kubernetes Java MongoDB Dynatrace Datadog Grafana Prometheus PHP Dynamics 365 Customer Engagement Purview CIAM ITIL ISO 27001 SOAP MID Server Spring Boot OpenAPI Pega Azure GCP+170 more
AdoptingDynamics 365 Finance and Operations Dynamics 365 Customer Engagement Azure Kubernetes Service
ReplacingBizTalk Server

What Cegeka Is Building

Challenges

  • Digital transformation of customer processes
  • Digital transition to dynamics 365
  • Gdpr compliance
  • Ensuring compliance with gxp regulations
  • Erp modernization
  • Data governance and compliance
  • Meeting service level agreements
  • Legacy system refactoring
  • Automating processes and services
  • System replacements in pension systems

Active Projects

  • D365 fo implementation
  • Digital transformation of customer’s business processes
  • Cloud storage environment building
  • Legacy system refactoring
  • Migration plan
  • Etl infrastructure build
  • Customizations and extensions for dynamics 365 crm
  • Service delivery plan
  • Analytics tool development
  • Data pipeline development

Hiring Activity

Accelerating160 roles · 100 in 30d

Department

Engineering
89
Data
22
Ops
8
Sales
7
Security
7
Support
6
HR
4
Finance
3

Seniority

Senior
96
Mid
38
Junior
10
Intern
3
Lead
3
Manager
3
Director
1
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About Cegeka

Cegeka provides IT infrastructure, cloud migration, ERP implementation, and managed services to mid-market and enterprise clients across Europe and North America. The firm specializes in Dynamics 365 deployments (both Customer Engagement and Finance and Operations), Azure cloud architecture, and data platform construction (ETL pipelines, analytics tools, data governance via Collibra and Atlan). Active projects span digital transformation consulting, legacy system refactoring, and service delivery operations. The company operates in 8 countries including Belgium, Netherlands, Romania, Greece, and Canada, with most hiring concentrated in Eastern Europe and Western Europe.

HeadquartersHasselt, Limburg
Company Size5,001–10,000 employees
Hiring MarketsMoldova, Greece, Belgium, Netherlands, Romania, Italy, Germany, Canada

Frequently Asked Questions

What tech stack does Cegeka use?

Cegeka uses Microsoft stack (Power Platform, Dynamics 365, Azure AD, ServiceNow) alongside open-source and third-party tools: Snowflake, Databricks, Kubernetes, Java, Spring Boot, Dynatrace, Datadog, and data governance platforms (Collibra, Atlan, Purview).

What projects is Cegeka working on?

Current projects include Dynamics 365 implementations, legacy system refactoring, ETL infrastructure builds, cloud storage environment deployment, data pipeline development, and digital transformation consulting for customer business processes.

How this profile is built

Cegeka'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.