Imerys

Imerys

Mining Engineer

Sylacauga, Alabama, USA · Principal · Full-time

Sponsorship not specifiedDetected 25 days ago
ForecastingExcelGISLeadershipCommunicationCollaborationProblem SolvingMentoring

About the role

  • As a technical authority, you will translate complex engineering models into actionable operational plans, dissect discrepancies with operations, and become the designated "Mining Expert" for assigned minerals and sites.

Responsibilities

  • LOMP Development: Develop clear, concise, and complex Life of Mine Plans (LOMP), mine phasing, sequencing, and schedules based on reserve models and business forecasts.
  • Problem Solving: Dissect technical discrepancies with operations and navigate through uncertainty to develop immediate action plans that meet business needs.
  • Technical Mentorship: Lead others down the technical path, moving engineering knowledge to organizational wisdom.

Requirements

  • ability to influence at all levels of the organization.
  • High proficiency in MS Access, MS Excel, GIS, and survey software.
  • Bachelor of Science (BS) degree, preferably in Mining Engineering, Geological Engineering, Civil Engineering, or a closely related engineering discipline.
  • Minimum of 5-8+ years supporting mining operations, with a distinct focus on mine planning and optimization.
  • Ability to lift up to 50 lbs and carry a drill-core box during site visits.

Nice to have

  • Proven ability to effectively use specialized mine planning and modeling software (e.g., Surpac or Deswik are highly preferred).
  • Prior experience with multi-mineral environments, specifically industrial minerals, is a major plus.
  • Hands-on operations experience is highly preferred to successfully bridge the gap with site managers.

Skills

  • Strong technical problem-solving skills paired with the business acumen to ensure model approaches yield a reasonable return on investment.
  • Job Requirements
  • Education & Certifications

This listing is sourced directly from Imerys's careers page and normalized into a canonical job model.