Data Modeller (Data Vault 2.0 and Kimball)

What you will do

• Design and implement comprehensive, multi-layered data models using client-defined methodologies such as Data Vault 2.0 and Kimball.
• Define data migration and modernization architecture, including data product architecture.
• Implement data lifecycle management strategies.
• Leverage, customize, and implement Generative AI models, algorithms, and methodologies to enhance the quality of products and applications.
• Analyze and evaluate the performance of Generative AI systems and provide design recommendations.
• Architect and design end-to-end Generative AI products, applications, and solutions tailored to specific business needs.

Flexible: The work location for this role may include a mix of working remotely, onsite at a client or in an Accenture office – depending on specific project circumstances. With all our roles, there is some in-person time for collaboration, learning and building relationships with clients, peers, leaders, and communities. As an employer, we will be as flexible as possible to support your specific work/life needs.

What we offer

• Permanent employment contract.
• Individual support of a People Lead and a specific path of professional development, as well as the possibility of a session with a Coach.
• A wide training package (soft, technical, and language training offer, access to the e-learning platforms, Gallup test, GenAI training, possibility of co-financing courses, and certification).
• Employee Assistance Program – legal, financial, and psychological consultations.
• Accenture employees eligible for the Employee share purchase plan automatically become eligible for quarterly dividends if they own company shares.
• Paid employee referral program.
• Private medical care, life insurance.
• Access to the MyBenefit platform (possibility of using a wide range of products and services, including the Multisport card).

Requirements

• Expert proficiency in Data Architecture.
• Advanced proficiency in Data Vault Modeling.
• A minimum of 2 years of experience in relevant skills.
• Bachelor's Degree in relevant field of studies.

BONUS POINTS IF YOU HAVE:

• Expert proficiency in Common & Enterprise Data Modelling (CDM/EDM).
• Expert proficiency in Data Architecture Principles.
• Advanced proficiency in Data Governance.
• Intermediate proficiency in Data Taxonomy.