As an international player in consulting and technology, Keyrus is committed to making sense of data by revealing its full potential, particularly from a human perspective. Our value proposition is built on diverse service groups: Automation & Artificial Intelligence: We provide our clients with the tools to enhance productivity and accuracy across their processes, allowing them to focus on higher-value work. Human-Centered Digital Experience: Customer relationships and…
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We operationalize intelligence.
Full company description
As an international player in consulting and technology, Keyrus is committed to making sense of data by revealing its full potential, particularly from a human perspective.
Our value proposition is built on diverse service groups:
Automation & Artificial Intelligence: We provide our clients with the tools to enhance productivity and accuracy across their processes, allowing them to focus on higher-value work.
Human-Centered Digital Experience: Customer relationships and employee engagement are two of the biggest contributors to business success. We help companies design and create seamless, multimodal digital experiences to achieve their goals.
Data & Analytics Implementation: Data is an undeniable key to business success. When leveraged intelligently, it unlocks unique opportunities to tackle present and future challenges.
Cloud & Security: Cloud computing and digital platforms have the potential to revolutionize how data is transformed into value, taking scalability and flexibility to the next level. We ensure that all your data remains protected and confidential.
Transformation & Innovation: To thrive in today’s ecosystem, businesses must not only accelerate their digital transformation but also develop the skills necessary to enhance adaptability, resilience, and competitiveness. We help our clients successfully transform to build a better future.
With over 3,000 employees and a presence in 28 countries across 4 continents, Keyrus is a leading international expert in data, consulting, and technology.
LinkedIn followers
253,685
People associated on LinkedIn
2,020
Reported office locations
157 rue Anatole France, Levallois-Perret, Cedex 92593, FR
252 W 37th St, New York, 10018, US
Carretera de Pozuelo, 34, 1D, Majadahonda, Comunidad de Madrid 28220, ES
Nijverheidslaan 3/2, Strombeek-Bever, Région flamande 1853, BE
Drève Richelle 161, Lasne, Waterloo , 1380, BE
57, Route de Longwy, Bertrange, Luxembourg 8080, LU
5+ YOECandidates need 5+ years in data engineering or consulting, including 3+ years building Databricks pipelines with PySpark, Python and SQL. Strong SQL, lakehouse (medallion) architecture knowledge and production support experience are also required.
Databricks, PySpark, Python, SQL, Power BI, Azure DevOps
7+ YOEKeyrus Canada needs a senior consultant with 7+ years in business consulting, digital transformation or business analysis. Candidates must have built business cases and ROI models, understand GenAI and enterprise AI at a practical level, and communicate well with senior stakeholders.
Business processes, Improve business processes, Decision making, Analytical skills, Communication skills, Business analysis
8+ YOECandidates need 8+ years designing enterprise, cloud or data architectures, recent experience with production GenAI or agentic systems, and deep knowledge of one major cloud platform (AWS, Azure or GCP). Strong communication and client advisory skills are required.
AWS, Azure, GCP, Amazon Bedrock, Azure AI, Vertex AI
7+ YOECandidates need 7+ years designing AWS cloud architectures, plus hands-on skills with networking, databases, Docker, Kubernetes and CI/CD. Strong communication with technical and non-technical audiences is essential.
Candidates need hands-on experience deploying production software, integrations or cloud solutions, strong programming skills, REST API and cloud knowledge, and clear communication with clients. Familiarity with AI and GenAI technologies is required.
7+ YOECandidates need 7+ years in data engineering, cloud data platforms or data architecture, with hands-on Microsoft Fabric or similar experience. They must be able to present and defend architectures to senior clients.
Microsoft Fabric, Databricks, Snowflake, Azure Data Services, Workday, Dynamics 365