Hybrid Cloud Data Architect for AI & Analytics

Hybrid Cloud Data Architect for AI & Analytics

Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
Credera

At a Glance

  • Tasks: Design cloud-native platforms for data, analytics, and AI solutions across various industries.
  • Company: Join Credera, a leader in data and AI architecture with a flexible hybrid work model.
  • Benefits: Enjoy a competitive salary, flexible working hours, and opportunities for professional growth.
  • Other info: Work in a dynamic environment with diverse client engagements and excellent career advancement opportunities.
  • Why this job: Make a real impact by delivering innovative solutions that shape the future of technology.
  • Qualifications: Experience in data architecture and a passion for AI and analytics.

The predicted salary is between 60000 - 80000 Β£ per year.

Credera is seeking a data and AI architecture leader to design cloud-native platforms for data, analytics and AI-enabled solutions.

You will work on diverse client engagements across multiple industries, delivering hands-on architecture and practical implementations.

Role supports a flexible hybrid model with three days onsite either at client sites or Credera offices in London, Manchester, Leeds or Newcastle.

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Hybrid Cloud Data Architect for AI & Analytics employer: Credera

Credera is an exceptional employer located in the vibrant city of Newcastle upon Tyne, offering a supportive and dynamic work culture that fosters collaboration and innovation. As a Recruitment Coordinator & Sourcer, you will benefit from a flexible hybrid working model, competitive salary, and comprehensive benefits, all while having ample opportunities for professional growth within a dedicated team. Join us to make a meaningful impact in the recruitment lifecycle and advance your career in a thriving environment.

Credera

Contact Details:

Credera Recruitment Team

We think you need these skills to ace Hybrid Cloud Data Architect for AI & Analytics

Communication Skills
Python
Data Engineering
Data Governance
SQL
Data Pipeline Development
API Integration