Lead Engineer: Workplace AI & Automation in London

Lead Engineer: Workplace AI & Automation in London

London Full-Time 70000 - 90000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Lead technical architecture reviews and implement innovative AI and automation solutions.
  • Company: Join dunnhumby, a leader in workplace technology and automation.
  • Benefits: Enjoy flexible working hours, a comprehensive rewards package, and a commitment to diversity.
  • Other info: Be part of a diverse team in a dynamic and inclusive environment.
  • Why this job: Make a real impact by shaping the future of workplace technology with cutting-edge AI.
  • Qualifications: Strong expertise in Microsoft stack and proven experience in designing automation solutions.

The predicted salary is between 70000 - 90000 Β£ per year.

dunnhumby is hiring a Lead Engineer – Workplace Technology & Automation in London. The role focuses on leading technical architecture reviews, implementing automation, and leveraging AI solutions.

Applicants should have strong Microsoft stack expertise and a proven track record in designing automation solutions.

A comprehensive rewards package, flexible working hours, and a strong commitment to diversity and inclusion are part of the offering.

Lead Engineer: Workplace AI & Automation in London employer: dunnhumby

At dunnhumby, we pride ourselves on being an exceptional employer, offering a dynamic work environment in London that fosters innovation and collaboration. Our commitment to diversity and inclusion, coupled with a comprehensive rewards package and flexible working hours, ensures that our employees thrive both personally and professionally. Join us to lead the charge in Workplace Technology & Automation, where your expertise will be valued and your growth supported.

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Contact Details:

dunnhumby Recruitment Team

We think you need these skills to ace Lead Engineer: Workplace AI & Automation in London

Python
Problem-Solving Skills
SQL
Communication Skills
Data Engineering
API Integration
Data Pipeline Development