Lead Data & AI Architect – Azure & AWS Cloud in Glasgow

Lead Data & AI Architect – Azure & AWS Cloud in Glasgow

Glasgow Full-Time 63000 - 77000 Β£ / year (est.) Home office (partial)
Iberdrola Renewables

At a Glance

  • Tasks: Lead the design of advanced data platforms and intelligent solutions in Azure and AWS.
  • Company: ScottishPower, part of the innovative Iberdrola Group.
  • Benefits: Hybrid work arrangements, competitive salary, and opportunities for travel.
  • Other info: Collaborate with data scientists and engineers in a dynamic environment.
  • Why this job: Make a real impact by delivering scalable AI and data solutions.
  • Qualifications: Experience in data architecture and cloud technologies like Azure and AWS.

The predicted salary is between 63000 - 77000 Β£ per year.

Scottish Power, part of the Iberdrola Group, is seeking a Data and AI Architect in Glasgow.

Lead the design of advanced data platforms and intelligent solutions in Azure and AWS, with hybrid work arrangements and occasional travel within the group.

You will partner with data scientists and engineers to deliver scalable, governance-focused AI and data solutions that drive business impact.

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Lead Data & AI Architect – Azure & AWS Cloud in Glasgow employer: Iberdrola Renewables

Iberdrola Renewables is an exceptional employer, offering a dynamic work environment at their Glasgow HQ where innovation meets sustainability. Employees benefit from a competitive salary, generous leave, and unique perks such as healthcare options and a cycle-to-work scheme, all while contributing to the vital mission of managing electricity networks safely and efficiently. With a strong focus on employee growth and development, this role provides meaningful opportunities to advance in a forward-thinking company committed to renewable energy.

Iberdrola Renewables

Contact Details:

Iberdrola Renewables Recruitment Team

We think you need these skills to ace Lead Data & AI Architect – Azure & AWS Cloud in Glasgow

Data Architecture
AI Solutions Design
Azure Cloud
AWS Cloud
Data Governance
Collaboration with Data Scientists
Collaboration with Data Engineers