[ref. b69746322] Asset Data Engineer

placeDublin calendar_month 

Asset Data Engineer

Location: Dublin (On-site or Hybrid depending on plant access)
Salary: €70,000 – €75,000
Leave: 23 Days Annual Leave + Bank Holidays

Benefits:

  • Employer pension contribution
  • Death in Service cover
  • Serious Illness Income Protection
  • Private GP visits
  • Annual Health Screenings
  • Personal Studies Fund (training & upskilling)

We are hiring an Asset Data Engineer to strengthen the reliability, traceability, and value of asset information across our operational infrastructure. This is a mission-critical role focused on optimising CMMS data structures, delivering asset insights that enable predictive maintenance, ensure regulatory compliance, and support continuous improvement initiatives.

Asset Data Engineer responsibilities:

  • Maintain and optimise our PEMAC CMMS – including asset hierarchies, failure modes, location tagging, and work order history.
  • Develop and publish performance KPIs: MTBF, MTTR, asset availability, downtime trends, and closure rates.
  • Collaborate closely with maintenance, engineering, and operations teams to ensure data accuracy, timely work order completion, and system alignment with maintenance strategies.
  • Build and maintain Power BI and Excel-based dashboards for real-time and historical asset reporting.
  • Identify and escalate breakdown trends, underperforming equipment, or high-failure-rate components.
  • Translate asset data into actionable insights that support uptime, cost control, compliance, and asset strategy.

Asset Data Engineer skills:

  • Proven hands-on use of PEMAC, IBM Maximo, Infor EAM, or SAP PM (implementation, configuration, or daily usage).
  • Deep understanding of maintenance workflows, job scheduling, asset lifecycle tracking, and asset data governance.
  • Strong Excel skills (pivot tables, lookups, macros) and proficiency with Power BI or similar reporting tools.
  • Experience handling failure modes, fault classification schemes, and asset criticality models.
  • Comfortable engaging with multi-disciplinary teams: technicians, engineers, compliance, and project stakeholders.

Qualifications:

  • Degree in Engineering, Maintenance Management, Data Analytics, or equivalent experience.
  • CMMS platform training or IAM Certificate (desirable).

To apply, simply click the apply button.

Syntech Recruitment Limited: We act as an employment agency for permanent recruitment and an employment business for temporary placements.

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