Mechanical Cost Engineer – YPP
Pubblicato il 06-09-2026 - G.D S.P.A, A Coesia in Bologna
G.D is a leading organization headquartered in Bologna, Italy.
As a key player in the high-tech machineries production, we specialize in cutting-edge technologies, shaping the future of industrial automation.
Our business portfolio encompasses a wide range of innovative making and packing solutions, in particular for Modern Oral and Next Generation products.
We strive to continuously expand our offerings and enhance our capabilities to meet the evolving needs of our customers.
For more detailed information about G.D and its comprehensive business landscape, please visit www.gidi.it.
G.D is part of Coesia, a group of innovation-based industrial and packaging solutions companies operating globally, headquartered in Bologna, Italy. Coesia operates in 34 countries with 21 different companies and employs over 8,000 people as of 2026.
About the Role
Within the Machine Cost Analysis Team, the candidate will support the analysis of machine and line costs, working on both new prototypes and consolidated machines/lines.
This role combines a technical understanding of complex automatic machines with a strong analytical approach to cost evaluation, with the objective of identifying cost deviations, understanding their root causes and supporting cost reduction initiatives.
The candidate will work closely with technical departments, Operations and other internal stakeholders to analyze machine baselines, compare actual costs against budget/standard costs, and interpret cost deltas through a technical perspective.
In particular, the selected resource will be responsible for:
- supporting cost simulations and estimates for machines and complete packaging lines;
- analyzing actual industrial costs and comparing them with budgeted or standard costs;
- reviewing complex bills of materials and large data files to understand machine cost structures;
- identifying and explaining the main causes of deviation from expected costs, with a focus on technical and production-related drivers;
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