Senior FinOps Engineer – On-Prem Cost & Dashboards

Senior FinOps Engineer – On-Prem Cost & Dashboards

Full-Time 72000 - 88000 £ / year (est.) No working from home possible
Hitachi

At a Glance

  • Tasks: Deliver hands-on FinOps for on-premises estate and build insightful dashboards.
  • Company: Join Hitachi, a leader in innovative technology solutions.
  • Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: Collaborative culture with a focus on innovation and career advancement.
  • Why this job: Make a real impact by driving cost accountability and visibility in a dynamic environment.
  • Qualifications: Experience in FinOps practices and strong analytical skills.

The predicted salary is between 72000 - 88000 £ per year.

Hitachi is seeking a Fin Ops engineer to deliver hands‑on Fin Ops for its on‑premises estate, working under the Fin Ops Architect to implement cost visibility, data integration and reporting.

You will connect diverse data sources, build dashboards, analyze usage patterns and identify savings to support governance.

The role focuses on embedding Fin Ops practices across cost-visibility initiatives and collaborating with relevant personas to drive cost accountability.

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Senior FinOps Engineer – On-Prem Cost & Dashboards employer: Hitachi

Hitachi is an exceptional employer that fosters a culture of innovation and continuous improvement, making it an ideal place for professionals passionate about quality management. With a strong commitment to employee development, the company offers numerous growth opportunities and supports work-life balance through its remote working model. Joining Hitachi means being part of a global team dedicated to excellence, where your contributions directly impact customer satisfaction and product quality.

Hitachi

Contact Details:

Hitachi Recruitment Team

We think you need these skills to ace Senior FinOps Engineer – On-Prem Cost & Dashboards

FinOps
Cost Visibility
Data Integration
Reporting
Dashboard Building
Data Analysis
Usage Pattern Analysis