Sr. FinOps Engineer
Listed on 2026-10-03
-
IT/Tech
Data Engineering, Cloud Computing: Infrastructure & Operations, Systems Engineer, IT Infrastructure
Location: Greater London
Function Cloud & Data Engineering
Our Company We’re Hitachi Digital Services, a global digital solutions and transformation business with a bold vision of our world’s potential. We’re people-centric and here to power good. Every day, we future-proof urban spaces, conserve natural resources, protect rainforests, and save lives. This is a world where innovation, technology, and deep expertise come together to take our company and customers from what’s now to what’s next.
We make it happen through the power of acceleration. Imagine the sheer breadth of talent it takes to bring a better tomorrow closer to today. We don’t expect you to ‘fit’ every requirement – your life experience, character, perspective, and passion for achieving great things in the world are equally as important to us.
Mandatory
Skills:
Certified from Fin Ops.org, Fin Ops for DC knowledge, DCIM, CMDB / asset DB, hypervisor metrics, power monitoring, contracts & licenses management
Skills:
ROLE PURPOSE Deliver hands‑on Fin Ops engineering for the organisation’s on‑premises estate, working under the Fin Ops Architect to implement cost visibility, data integration, reporting, and optimisation initiatives following the Fin Ops.org framework. Serve as the primary onshore engineering resource who connects data sources, builds dashboards, analyses usage patterns, identifies savings, and supports governance processes. Collaborate with all Fin Ops personas to embed cost accountability into day‑to‑day operations.
As the onshore engineer, this role acts as the bridge between stakeholders (finance, engineering, operations) and the offshore engineering capacity, ensuring quality, context, and alignment with business priorities.
- Cost Visibility — Gain full visibility of on‑premises infrastructure, licensing, and operational costs by establishing comprehensive data collection and integration from identified sources
- Data Source Identification & Setup — Identify, agree upon, and integrate all relevant cost data sources including CMDB, asset management, licensing portals, procurement systems, and infrastructure monitoring tools
- Fin Ops Maturity Baselining — Assess current Fin Ops maturity against the Fin Ops.org maturity model (Crawl → Walk → Run), identifying gaps and opportunities across tagging, savings, and cost governance
- Tagging & Allocation Gaps — Identify and remediate gaps in cost allocation, tagging, and labelling across on‑premises assets to enable accurate chargeback, showback, and cost attribution
- Savings Identification — Discover potential savings opportunities through licence optimisation, hardware rightsizing, capacity rebalancing, decommissioning, and vendor renegotiation
- Cost Governance Gaps — Assess and strengthen cost governance processes including approval workflows, budget controls, anomaly detection, and policy enforcement
- Data Normalisation — Normalise cost data from disparate sources into a unified cost model, enabling consistent reporting across business units, environments, and service categories
- Usage, Pattern & Licence Analysis — Analyse infrastructure utilisation patterns, workload distribution, peak/off‑peak trends, and software licence usage to identify waste and optimisation opportunities
- Cost Modelling & Economics — Define unit economics, cost‑per‑service models, TCO calculations, and amortisation schedules for on‑premises infrastructure to enable informed decision‑making
- Implementation Roadmap — Develop a prioritised roadmap of quick‑wins (0–3 months), mid‑term initiatives (3–6 months), and long‑term transformations (6–12 months) based on value and feasibility
- Reporting & Dashboards — Design and recommend live/near‑real‑time cost dashboards with drill‑down…
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).