Asset Intelligence Engineer - Asset Management

Iarnród Éireann Irish Rail; Dublin; Hybride; EUR 85 000 - 120 000; Plein temps

Avantages offerts par ce poste

Pension

Welfare Scheme

Career progression opportunities

Relocation packages (outside Ireland)

Employee discounts across sectors

Résumé du poste

Iarnród Éireann Irish Rail is seeking an Asset Intelligence Engineer to advance data-driven, AI-enabled asset management across railway infrastructure. You will combine data engineering, analytics, AI, computer vision, and digital innovation to support the iTRAK programme and its asset management vision.

You will lead PoCs and pilots, translate operational needs into technical solutions, engage stakeholders, and deliver analytics dashboards to enable safer, more reliable rail operations.

Qualifications

• Degree-level qualification or equivalent professional experience in data-related fields.
• Experience with AI, ML, computer vision, or advanced analytics.
• Experience with data engineering, software engineering, analytics or data science.
• Experience delivering proofs of concept.

Responsabilités

• Identify opportunities to improve asset management, safety, reliability, and performance through data and technology.
• Develop innovative solutions that transform asset data into actionable intelligence.
• Support the delivery of the iTRAK programme and Asset Management vision.
• Engage with stakeholders to understand operational challenges and identify improvement opportunities.

Connaissances

Data engineering

Python

SQL

ETL/ELT

Data modelling

AI/AI-enabled solutions

Proof of Concept

Communication

Stakeholder management

Operational requirements translation

Problem solving

Transport infrastructure experience

Geospatial analytics

LiDAR

GIS

Power BI

Azure Data Platform

Databricks

Snowflake

Formation

Degree in Data Engineering/Computer Science/IT/Engineering/Mathematics

Outils

Power BI

Microsoft Fabric

Azure Data Platform

Databricks

Snowflake

Description du poste

Location: Inchicore, Dublin 8. (Hybrid working arrangements available, as per Remote Working policy)

Employment Type: FTR (full-time regular) following a probationary period

Working Hours: 36-hours per week.

Annual Leave: 25 days initially, 26 days after one years' service, increasing to 28 days after four years' service.

Closing Date: Friday, 6th of November 2026

Annual Leave Entitlement: 25 days per annum, rising to 28 based on service.

*Additional Entitlements: Re-location packages (Applicable to residence outside of Ireland), Pension, Welfare Scheme, Credit Union, Further Education Assistance, Talent Development Programmes, Phone, Opportunities for career progression, Free/ discounted Bus and Rail, Irish Ferries and Rail in UK and some European countries, Employee discounts across various sectors, Food, Health & Fitness, Retail, Tech, and much more.

*Some entitlements dependent on employment status and length of service.

JOB SPECIFICATION

Through iTRAK, the IÉIM is creating a modern Asset Management environment that enables better decisions, safer operations, improved reliability, and more effective investment of funding. The programme represents a long-term commitment to building the digital foundations that will support the railway for the next twenty years and beyond.

ROLE & PURPOSE:

The Asset Intelligence Engineer is responsible for identifying, evaluating, developing, and validating innovative data-driven, analytics, and AI-enabled solutions that improve the safety, reliability, performance, and lifecycle management of railway infrastructure assets.

The role combines asset intelligence, data engineering, analytics, artificial intelligence, computer vision, and digital innovation to support the delivery of IÉIM’s digital transformation objectives.

Working within the IÉIM, the role acts as the bridge between business requirements and emerging technology opportunities, leading the development of Proof of Concepts (PoCs) and pilot initiatives that address real-world operational and asset management challenges.

REPORTING RELATIONSHIPS:

Reports to Head of Asset Management Transformation

Working Relationship with:

• Head of Health & Safety IM
• Head of IM Systems
• AM Team
• IAMS Managers
• Data & Analytics Team

KEY QUALITIES:

• Proven experience in Data Engineering, Software Engineering, Data Analytics, Data Science, or related technical disciplines.
• Strong knowledge of SQL, Python, ETL/ELT processes, and data modelling principles.
• Experience developing analytical, AI-enabled, or data-driven solutions to solve business challenges.
• Experience evaluating and delivering Proofs of Concept.
• Strong problem-solving, communication, and stakeholder management skills.
• Ability to translate operational and business requirements into technical solutions.
• Degree-level qualification or equivalent professional experience in Data Engineering, Computer Science, Information Technology, Engineering, Mathematics, or a related discipline.
• Experience with Artificial Intelligence, Machine Learning, Computer Vision, or Advanced Analytics.
• Experience with Power BI, Microsoft Fabric, Azure Data Platform, Databricks, Snowflake, or equivalent technologies.
• Experience with LiDAR, point clouds, GIS, drone imagery, remote sensing, or geospatial analytics.
• Knowledge of ISO 55000 Asset Management principles.
• Experience working within transport, utility, engineering, or critical infrastructure environments.

SPECIFIC RESPONSIBILITIES:

• Identify opportunities to improve asset management, safety, reliability, and operational performance through data and technology.
• Develop innovative solutions that transform asset data into actionable intelligence.
• Support the delivery of the iTRAK programme and Asset Management vision
• Engage with stakeholders to understand operational challenges and identify improvement opportunities.

Proof of Concept:

• Lead the development and evaluation of Proofs of Concept and pilot initiatives.
• Define success criteria, performance measures, and business benefits.
• Assess emerging technologies including AI, Machine Learning, Computer Vision, Digital Twins, and Condition Monitoring.
• Produce recommendations and business cases to support investment decisions.
• Develop and maintain data pipelines and integrations across asset management and operational systems.
• Deliver analytics, dashboards, and AI-enabled solutions that support better decision-making.
• Develop solutions using technologies such as Forward-Facing Video, LiDAR, drone imagery, GIS, and other asset intelligence data sources.
• Ensure data quality, governance, security, and traceability.

COMPETENCIES:

• Problem Solving & Innovation.
• Data & Digital Technical Expertise.
• Stakeholder Engagement & Collaboration
• Delivery & Execution
• Commercial Awareness & Business Value.

PERFORMANCE MEASURES:

As outlined by the Head of Asset Management Transformation.

The above is not an exhaustive list of duties, and you will be expected to perform different tasks as necessitated by your changing role within the organisation and the overall business objectives of the organisation.