Railway Engineering Data Manager
Listed on 2026-02-17
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Engineering
Data Science Manager, Data Engineer -
IT/Tech
Data Science Manager, Data Engineer, Data Analyst
Engineering Data Manager
We are seeking an experienced Engineering Data Manager to lead the development and optimisation of digital engineering data systems across a major infrastructure programme.
This role will drive improvements in GIS, reporting automation, digital assurance tools, and cross-functional data environments - enabling smarter decisions, reduced manual effort, and stronger data governance.
Key ResponsibilitiesDigital Platform Development
Lead ongoing development of GIS to ensure project design data (models, hazards, stakeholder mapping, etc.) is accessible on a single integrated platform.
Enhance asset tagging systems to support cost comparison (capital, lifecycle, carbon) and future-ready data handover.
Improve digital security and ensure compliance with latest data standards.
Reporting & Assurance Tools
Automate performance reporting from Project Wise CDE into reporting tools (including Python scripting).
Develop and optimise registers and trackers to reduce manual data handling and improve insight-driven reporting.
Improve cross-functional reporting and on-site works reporting systems.
Digital Tools & Systems
Develop and implement tools for engineering nominations and competence management.
Support rollout and enhancement of regional digital tools (e.g., AMP systems).
Improve compliance tracking tools, including Health & Safety file management.
Continuous Improvement
Contribute innovative digital solutions to improve efficiency, accuracy, and data security across the engineering function.
Strong experience managing engineering data within complex infrastructure environments.
Proven capability in CDE platforms (e.g., Project Wise) and reporting automation.
Proficient in Python scripting and advanced Excel/reporting tools.
Strong understanding of GIS, asset tagging, and digital assurance systems.
Proactive mindset with a passion for digital transformation and process improvement.
We are an equal opportunity employer and value diversity in our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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