Data & AI Consultant (m/w/d) at Atos | North Rhine-Westphalia | Rezi

Data & AI Consultant (m/w/d) at Atos

Data & AI Consultant (m/w/d)

Atos · North Rhine-Westphalia

1 months ago

Data & AI Consultant (m/w/d)

Atos · North Rhine-Westphalia

a month ago
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About the Role

Bull is a company with a century of European innovation, developing high-performance, sustainable, and sovereign digital solutions. We focus on High Performance Computing, AI, and Quantum Technologies, pushing the boundaries of what's technologically possible. Our teams are globally connected, driven by a vision of responsible and sustainable innovation that creates measurable value for our clients.

Responsibilities

  • Contribute significantly to the transformation of large international companies in the AI and data space by applying technical expertise in consulting and delivery.
  • Develop technical concepts and architectures, and support the creation and processing of customized customer proposals.
  • Take on the technical implementation of solutions within projects, ensuring they meet customer requirements.
  • Focus on Databricks projects in German-speaking regions, ensuring smooth integration.
  • Provide technical delivery support for migrating solutions from systems like Cloudera, SAS, Oracle, or other legacy systems to the Databricks platform.
  • Engage in technical discussions, define project scope, and specify requirements for system and data architecture.
  • Communicate and collaborate with clients and partners at all levels, including data specialists, IT architects, security engineers, business/product owners, solutions designers, and data scientists.
  • Prepare and professionally present hands-on customer demos (e.g., RAG LLM), explaining complex technical content clearly.
  • Create guidelines for system design and implementation to ensure high standards.
  • Design and document solution architectures for systems, applications, or processes with minimal dependencies.
  • Ensure system and data architecture meets functionality and performance requirements.

Requirements

  • Bachelor's degree or comparable IT education.
  • Extensive professional experience.
  • Competence in creating robust architectures and skill in testing, experimenting, and effectively demonstrating them.
  • In-depth understanding of architectures, solutions, and strategic alignment in the Data Analytics environment.
  • Strong interpersonal skills for interacting with diverse client and partner teams.
  • Experience in AI, ML, DWH, BI, or related fields.
  • Experience with Python/Spark.
  • Very good knowledge of MS Office products (Excel, Word, PowerPoint, etc.).
  • Proficiency in consulting and presentation techniques, able to convince in unfamiliar environments.
  • Very good communication skills in German (native language) and English.

Skills

  • AI
  • ML
  • DWH
  • BI
  • Python
  • Spark
  • Databricks
  • Cloudera
  • SAS
  • Oracle
  • MS Office (Excel, Word, PowerPoint)
  • Consulting
  • Presentation techniques
  • System architecture
  • Data architecture
  • RAG LLM

Location

  • Germany

Work Type

  • Full-time
  • Onsite

Experience Level

  • Extensive professional experience

Education Level

  • Bachelor's degree or comparable IT education

About the Company

  • Bull represents a century of European innovation.
  • We are part of a future-oriented work environment where experts develop high-performance, sustainable, and sovereign digital solutions.
  • Our experts shape the future of High Performance Computing, AI, and Quantum Technologies.
  • We benefit from excellent research and development, over 1,600 patents, and unique end-to-end competencies across the entire value chain.
  • Our teams are networked across Europe, North and South America, and India.
  • Our shared vision is responsible and sustainable innovation that creates real, measurable added value for our customers.

Equal Opportunity

  • We welcome applications regardless of origin, religion, color, gender, age, disability, or sexual orientation.
  • All recruitment decisions are based solely on qualifications, skills, knowledge, experience, and relevant business requirements.
  • We value equal opportunities and welcome applications from people with disabilities.
  • Candidates with disabilities will be given preferential consideration in case of equal qualifications.