SENIOR CONSULTANT

Publication Date:  May 6, 2026
Ref. No:  546123
Location: 

Pune, IN

About Atos Group

 

Atos Group is a global leader in digital transformation with c. 63,000 employees and annual revenue of c. €8 billion, operating in 61 countries under two brands — Atos for services and Eviden for products. European number one in cybersecurity, cloud and high performance computing, Atos Group is committed to a secure and decarbonized future and provides tailored AI-powered, end-to-end solutions for all industries. Atos Group is the brand under which Atos SE (Societas Europaea) operates. Atos SE is listed on Euronext Paris.

 

The purpose of Atos Group is to help design the future of the information space. Its expertise and services support the development of knowledge, education and research in a multicultural approach and contribute to the development of scientific and technological excellence. Across the world, the Group enables its customers and employees, and members of societies at large to live, work and develop sustainably, in a safe and secure information space.

 

About Eviden

 

Eviden is the Atos Group brand for hardware and software products with c. € 1 billion in revenue, operating in 36 countries and comprising four business units: advanced computing, cybersecurity products, mission-critical systems and vision AI. As a next-generation technology leader, Eviden offers a unique combination of hardware and software technologies for businesses, public sector and defense organizations and research institutions, helping them to create value out of their data. Bringing together more than 4,500 world-class talents and holding more than 2,100 patents, Eviden provides a strong portfolio of innovative and eco-efficient solutions in AI, computing, security, data and applications.

Roles & Responsibilities

  • Design and implement complex SAP Datasphere data models aligned with SAP Business Data Cloud architecture
  • Build and validate semantic-rich analytical models for reporting, analytics, and downstream consumption
  • Analyze, validate, and troubleshoot:
    • Associations and joins
    • Text and language-based relationships
    • Semantic and analytical behavior in Datasphere
  • Review technical artifacts to ensure consistency between:
    • Design-time definitions (CSN / JSON)
    • Runtime behavior
    • Datasphere UI representation
  • Support BDC-aligned enhancements, including:
    • Metadata-driven modeling
    • Automation-ready modeling patterns
    • Reusable templates and accelerators
  • Collaborate with functional, analytics, and integration teams to stabilize and scale BDC-based solutions
  • Contribute to innovation use cases involving:
    • Model automation
    • Semantic enrichment
    • Technical validation and governance
  • Support PoCs and future-ready scenarios aligned with SAP BDC adoption and roadmap

Requirements

  • 3+ years of hands-on experience in SAP Datasphere
  • Working experience or strong understanding of SAP Business Data Cloud (BDC) concepts and architecture
  • Strong experience with SAP Datasphere Data Builder
  • Hands-on experience in Python development for automation, validation, or utilities
  • Solid understanding of:
    • Local tables, graphical views, dimensions, and facts
    • Text entities and multilingual modeling
    • Semantic modeling and analytical consumption
  • Experience creating and validating:
    • Associations (master data, text, and hierarchical)
    • Joins and relationships across models
  • Good knowledge of JSON / CSN-based design-time artifacts
  • Understanding of deployment lifecycle, transport behavior, and object activation in Datasphere / BDC context
  • Ability to analyze technical issues spanning:
    • Model logic
    • Semantic behavior
    • UI vs design-time inconsistencies
  • Strong debugging, analytical, and problem-solving skills
  • Hands-on experience with Python-based automation utilities or frameworks
  • Familiarity with SAP Datasphere CLI
  • Understanding of SAP BDC positioning within SAP Analytics and Data landscape
  • Experience reviewing:
    • Technical logs
    • Design-time artifacts
    • Deployment and activation issues
  • Exposure to PoCs, accelerators, and reusable content in SAP Datasphere / BDC context

 

 

Let’s grow together.